Overview

Dataset statistics

Number of variables35
Number of observations1000
Missing cells10309
Missing cells (%)29.5%
Total size in memory5.9 MiB
Average record size in memory6.0 KiB

Variable types

Numeric1
Text32
URL2

Alerts

program_code has 593 (59.3%) missing valuesMissing
program_acronym has 443 (44.3%) missing valuesMissing
population_served has 46 (4.6%) missing valuesMissing
age_group has 13 (1.3%) missing valuesMissing
heads_up has 59 (5.9%) missing valuesMissing
plain_language_eligibility has 13 (1.3%) missing valuesMissing
how_to_apply_summary has 95 (9.5%) missing valuesMissing
how_to_apply_or_enroll_online has 495 (49.5%) missing valuesMissing
apply_online_call_to_action has 573 (57.3%) missing valuesMissing
url_of_online_application has 573 (57.3%) missing valuesMissing
how_to_apply_or_enroll_by_mail has 849 (84.9%) missing valuesMissing
apply_by_mail_call_to_action has 853 (85.3%) missing valuesMissing
url_of_pdf_application_forms has 771 (77.1%) missing valuesMissing
how_to_apply_or_enroll_in_person has 548 (54.8%) missing valuesMissing
apply_in_person_call_to_action has 654 (65.4%) missing valuesMissing
office_locations_url has 654 (65.4%) missing valuesMissing
how_to_apply_or_enroll_by_phone has 726 (72.6%) missing valuesMissing
required_documents_summary has 585 (58.5%) missing valuesMissing
get_help_in_person has 350 (35.0%) missing valuesMissing
get_help_online has 99 (9.9%) missing valuesMissing
get_help_by_email has 680 (68.0%) missing valuesMissing
get_help_by_calling_other_than_311 has 264 (26.4%) missing valuesMissing
get_help_by_calling_311 has 365 (36.5%) missing valuesMissing
0 has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:32:24.596540
Analysis finished2023-12-09 20:32:26.909008
Duration2.31 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:32:27.029606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:32:27.193322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct82
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size61.6 KiB
2023-12-09T20:32:27.551411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6000
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowP085en
2nd rowP099en
3rd rowP095en
4th rowP102en
5th rowP103en
ValueCountFrequency (%)
p041en 14
 
1.4%
p022en 14
 
1.4%
p018en 14
 
1.4%
p085en 14
 
1.4%
p001en 14
 
1.4%
p009en 14
 
1.4%
p040en 14
 
1.4%
p033en 14
 
1.4%
p051en 13
 
1.3%
p039en 13
 
1.3%
Other values (72) 862
86.2%
2023-12-09T20:32:28.026799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1213
20.2%
P 1000
16.7%
e 1000
16.7%
n 1000
16.7%
1 276
 
4.6%
2 236
 
3.9%
3 230
 
3.8%
9 219
 
3.6%
8 185
 
3.1%
4 180
 
3.0%
Other values (3) 461
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3000
50.0%
Lowercase Letter 2000
33.3%
Uppercase Letter 1000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1213
40.4%
1 276
 
9.2%
2 236
 
7.9%
3 230
 
7.7%
9 219
 
7.3%
8 185
 
6.2%
4 180
 
6.0%
5 180
 
6.0%
7 152
 
5.1%
6 129
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 1000
50.0%
n 1000
50.0%
Uppercase Letter
ValueCountFrequency (%)
P 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3000
50.0%
Latin 3000
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1213
40.4%
1 276
 
9.2%
2 236
 
7.9%
3 230
 
7.7%
9 219
 
7.3%
8 185
 
6.2%
4 180
 
6.0%
5 180
 
6.0%
7 152
 
5.1%
6 129
 
4.3%
Latin
ValueCountFrequency (%)
P 1000
33.3%
e 1000
33.3%
n 1000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1213
20.2%
P 1000
16.7%
e 1000
16.7%
n 1000
16.7%
1 276
 
4.6%
2 236
 
3.9%
3 230
 
3.8%
9 219
 
3.6%
8 185
 
3.1%
4 180
 
3.0%
Other values (3) 461
 
7.7%

program_code
Text

MISSING 

Distinct31
Distinct (%)7.6%
Missing593
Missing (%)59.3%
Memory size43.7 KiB
2023-12-09T20:32:28.289974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters2442
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS2R020
2nd rowS2R026
3rd rowS2R022
4th rowS2R018
5th rowS2R007
ValueCountFrequency (%)
s2r022 14
 
3.4%
s2r009 14
 
3.4%
s2r001 14
 
3.4%
s2r018 14
 
3.4%
s2r019 13
 
3.2%
s2r030 13
 
3.2%
s2r017 13
 
3.2%
s2r010 13
 
3.2%
s2r027 13
 
3.2%
s2r024 13
 
3.2%
Other values (21) 273
67.1%
2023-12-09T20:32:28.672376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 578
23.7%
0 552
22.6%
S 407
16.7%
R 407
16.7%
1 184
 
7.5%
3 78
 
3.2%
8 40
 
1.6%
9 40
 
1.6%
4 39
 
1.6%
6 39
 
1.6%
Other values (2) 78
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1628
66.7%
Uppercase Letter 814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 578
35.5%
0 552
33.9%
1 184
 
11.3%
3 78
 
4.8%
8 40
 
2.5%
9 40
 
2.5%
4 39
 
2.4%
6 39
 
2.4%
5 39
 
2.4%
7 39
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 407
50.0%
R 407
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1628
66.7%
Latin 814
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 578
35.5%
0 552
33.9%
1 184
 
11.3%
3 78
 
4.8%
8 40
 
2.5%
9 40
 
2.5%
4 39
 
2.4%
6 39
 
2.4%
5 39
 
2.4%
7 39
 
2.4%
Latin
ValueCountFrequency (%)
S 407
50.0%
R 407
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 578
23.7%
0 552
22.6%
S 407
16.7%
R 407
16.7%
1 184
 
7.5%
3 78
 
3.2%
8 40
 
1.6%
9 40
 
1.6%
4 39
 
1.6%
6 39
 
1.6%
Other values (2) 78
 
3.2%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:32:28.843969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7000
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnglish
2nd rowEnglish
3rd rowEnglish
4th rowEnglish
5th rowEnglish
ValueCountFrequency (%)
english 987
98.7%
spanish 13
 
1.3%
2023-12-09T20:32:29.687049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 1000
14.3%
i 1000
14.3%
s 1000
14.3%
h 1000
14.3%
E 987
14.1%
g 987
14.1%
l 987
14.1%
S 13
 
0.2%
p 13
 
0.2%
a 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
85.7%
Uppercase Letter 1000
 
14.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1000
16.7%
i 1000
16.7%
s 1000
16.7%
h 1000
16.7%
g 987
16.4%
l 987
16.4%
p 13
 
0.2%
a 13
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 987
98.7%
S 13
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 7000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1000
14.3%
i 1000
14.3%
s 1000
14.3%
h 1000
14.3%
E 987
14.1%
g 987
14.1%
l 987
14.1%
S 13
 
0.2%
p 13
 
0.2%
a 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 1000
14.3%
i 1000
14.3%
s 1000
14.3%
h 1000
14.3%
E 987
14.1%
g 987
14.1%
l 987
14.1%
S 13
 
0.2%
p 13
 
0.2%
a 13
 
0.2%
Distinct82
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size81.8 KiB
2023-12-09T20:32:30.028637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length71
Median length36
Mean length26.664
Min length5

Characters and Unicode

Total characters26664
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3-K for All
2nd rowJobs Plus
3rd rowTrain & Earn\u200b
4th rowNYCitizenship
5th rowVeterans Affairs Supported Housing
ValueCountFrequency (%)
program 209
 
5.7%
nyc 157
 
4.3%
health 95
 
2.6%
services 87
 
2.4%
care 86
 
2.3%
84
 
2.3%
tax 80
 
2.2%
for 74
 
2.0%
school 74
 
2.0%
and 70
 
1.9%
Other values (149) 2675
72.5%
2023-12-09T20:32:30.586953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2691
 
10.1%
e 2537
 
9.5%
r 1937
 
7.3%
a 1562
 
5.9%
o 1560
 
5.9%
n 1484
 
5.6%
i 1459
 
5.5%
t 1378
 
5.2%
s 995
 
3.7%
l 963
 
3.6%
Other values (52) 10098
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19399
72.8%
Uppercase Letter 4157
 
15.6%
Space Separator 2691
 
10.1%
Other Punctuation 187
 
0.7%
Dash Punctuation 99
 
0.4%
Decimal Number 79
 
0.3%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2537
13.1%
r 1937
10.0%
a 1562
 
8.1%
o 1560
 
8.0%
n 1484
 
7.6%
i 1459
 
7.5%
t 1378
 
7.1%
s 995
 
5.1%
l 963
 
5.0%
m 843
 
4.3%
Other values (14) 4681
24.1%
Uppercase Letter
ValueCountFrequency (%)
C 630
15.2%
S 522
12.6%
P 409
9.8%
Y 320
 
7.7%
E 295
 
7.1%
N 295
 
7.1%
A 280
 
6.7%
H 265
 
6.4%
I 167
 
4.0%
L 137
 
3.3%
Other values (14) 837
20.1%
Other Punctuation
ValueCountFrequency (%)
& 71
38.0%
' 48
25.7%
, 28
 
15.0%
/ 27
 
14.4%
\ 13
 
7.0%
Decimal Number
ValueCountFrequency (%)
0 26
32.9%
3 14
17.7%
1 13
16.5%
8 13
16.5%
2 13
16.5%
Space Separator
ValueCountFrequency (%)
2691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23556
88.3%
Common 3108
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2537
 
10.8%
r 1937
 
8.2%
a 1562
 
6.6%
o 1560
 
6.6%
n 1484
 
6.3%
i 1459
 
6.2%
t 1378
 
5.8%
s 995
 
4.2%
l 963
 
4.1%
m 843
 
3.6%
Other values (38) 8838
37.5%
Common
ValueCountFrequency (%)
2691
86.6%
- 99
 
3.2%
& 71
 
2.3%
' 48
 
1.5%
, 28
 
0.9%
/ 27
 
0.9%
( 26
 
0.8%
) 26
 
0.8%
0 26
 
0.8%
3 14
 
0.5%
Other values (4) 52
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2691
 
10.1%
e 2537
 
9.5%
r 1937
 
7.3%
a 1562
 
5.9%
o 1560
 
5.9%
n 1484
 
5.6%
i 1459
 
5.5%
t 1378
 
5.2%
s 995
 
3.7%
l 963
 
3.6%
Other values (52) 10098
37.9%

program_acronym
Text

MISSING 

Distinct46
Distinct (%)8.3%
Missing443
Missing (%)44.3%
Memory size47.3 KiB
2023-12-09T20:32:30.856826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.245960503
Min length3

Characters and Unicode

Total characters2365
Distinct characters31
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3-K
2nd rowHUD-VASH
3rd rowYALP
4th rowWIC
5th rowSNAP
ValueCountFrequency (%)
nyc 27
 
4.5%
hasa 14
 
2.3%
aps 14
 
2.3%
3-k 14
 
2.3%
wic 14
 
2.3%
compass 14
 
2.3%
ecdc 14
 
2.3%
sche 13
 
2.2%
ctc 13
 
2.2%
drie 13
 
2.2%
Other values (38) 447
74.9%
2023-12-09T20:32:31.291876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 333
14.1%
S 285
12.1%
P 212
 
9.0%
A 206
 
8.7%
E 190
 
8.0%
H 154
 
6.5%
N 112
 
4.7%
Y 112
 
4.7%
F 106
 
4.5%
R 72
 
3.0%
Other values (21) 583
24.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2218
93.8%
Dash Punctuation 40
 
1.7%
Space Separator 40
 
1.7%
Lowercase Letter 39
 
1.6%
Decimal Number 22
 
0.9%
Other Punctuation 6
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 333
15.0%
S 285
12.8%
P 212
9.6%
A 206
9.3%
E 190
8.6%
H 154
 
6.9%
N 112
 
5.0%
Y 112
 
5.0%
F 106
 
4.8%
R 72
 
3.2%
Other values (13) 436
19.7%
Lowercase Letter
ValueCountFrequency (%)
r 13
33.3%
e 13
33.3%
s 13
33.3%
Decimal Number
ValueCountFrequency (%)
3 14
63.6%
2 8
36.4%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
& 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2257
95.4%
Common 108
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 333
14.8%
S 285
12.6%
P 212
9.4%
A 206
9.1%
E 190
 
8.4%
H 154
 
6.8%
N 112
 
5.0%
Y 112
 
5.0%
F 106
 
4.7%
R 72
 
3.2%
Other values (16) 475
21.0%
Common
ValueCountFrequency (%)
- 40
37.0%
40
37.0%
3 14
 
13.0%
2 8
 
7.4%
& 6
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 333
14.1%
S 285
12.1%
P 212
 
9.0%
A 206
 
8.7%
E 190
 
8.0%
H 154
 
6.5%
N 112
 
4.7%
Y 112
 
4.7%
F 106
 
4.5%
R 72
 
3.0%
Other values (21) 583
24.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size62.7 KiB
2023-12-09T20:32:31.469312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.035
Min length7

Characters and Unicode

Total characters7035
Distinct characters18
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowProgram
2nd rowProgram
3rd rowProgram
4th rowProgram
5th rowProgram
ValueCountFrequency (%)
program 581
58.1%
service 250
25.0%
benefit 134
 
13.4%
resource 35
 
3.5%
2023-12-09T20:32:31.771632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 1447
20.6%
e 838
11.9%
o 616
8.8%
P 581
8.3%
g 581
8.3%
a 581
8.3%
m 581
8.3%
i 384
 
5.5%
c 285
 
4.1%
v 250
 
3.6%
Other values (8) 891
12.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6035
85.8%
Uppercase Letter 1000
 
14.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1447
24.0%
e 838
13.9%
o 616
10.2%
g 581
9.6%
a 581
9.6%
m 581
9.6%
i 384
 
6.4%
c 285
 
4.7%
v 250
 
4.1%
n 134
 
2.2%
Other values (4) 338
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
P 581
58.1%
S 250
25.0%
B 134
 
13.4%
R 35
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 7035
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1447
20.6%
e 838
11.9%
o 616
8.8%
P 581
8.3%
g 581
8.3%
a 581
8.3%
m 581
8.3%
i 384
 
5.5%
c 285
 
4.1%
v 250
 
3.6%
Other values (8) 891
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 1447
20.6%
e 838
11.9%
o 616
8.8%
P 581
8.3%
g 581
8.3%
a 581
8.3%
m 581
8.3%
i 384
 
5.5%
c 285
 
4.1%
v 250
 
3.6%
Other values (8) 891
12.7%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:32:31.986321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length13
Mean length9.606
Min length4

Characters and Unicode

Total characters9606
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEducation
2nd rowWork
3rd rowWork
4th rowFamily services
5th rowHousing
ValueCountFrequency (%)
education 150
9.8%
health 146
9.6%
cash 145
9.5%
expenses 145
9.5%
family 129
 
8.5%
services 129
 
8.5%
work 117
 
7.7%
food 94
 
6.2%
79
 
5.2%
amp 66
 
4.3%
Other values (9) 325
21.3%
2023-12-09T20:32:32.340535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1074
 
11.2%
s 805
 
8.4%
a 729
 
7.6%
i 627
 
6.5%
n 529
 
5.5%
525
 
5.5%
o 520
 
5.4%
c 433
 
4.5%
h 385
 
4.0%
t 370
 
3.9%
Other values (21) 3609
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7844
81.7%
Uppercase Letter 1026
 
10.7%
Space Separator 525
 
5.5%
Other Punctuation 211
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1074
13.7%
s 805
 
10.3%
a 729
 
9.3%
i 627
 
8.0%
n 529
 
6.7%
o 520
 
6.6%
c 433
 
5.5%
h 385
 
4.9%
t 370
 
4.7%
l 355
 
4.5%
Other values (10) 2017
25.7%
Uppercase Letter
ValueCountFrequency (%)
F 223
21.7%
E 211
20.6%
H 211
20.6%
C 191
18.6%
W 117
11.4%
S 47
 
4.6%
I 13
 
1.3%
D 13
 
1.3%
Other Punctuation
ValueCountFrequency (%)
& 145
68.7%
; 66
31.3%
Space Separator
ValueCountFrequency (%)
525
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8870
92.3%
Common 736
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1074
 
12.1%
s 805
 
9.1%
a 729
 
8.2%
i 627
 
7.1%
n 529
 
6.0%
o 520
 
5.9%
c 433
 
4.9%
h 385
 
4.3%
t 370
 
4.2%
l 355
 
4.0%
Other values (18) 3043
34.3%
Common
ValueCountFrequency (%)
525
71.3%
& 145
 
19.7%
; 66
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9606
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1074
 
11.2%
s 805
 
8.4%
a 729
 
7.6%
i 627
 
6.5%
n 529
 
5.5%
525
 
5.5%
o 520
 
5.4%
c 433
 
4.5%
h 385
 
4.0%
t 370
 
3.9%
Other values (21) 3609
37.6%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size91.3 KiB
2023-12-09T20:32:32.579240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length84
Median length68
Mean length36.337
Min length11

Characters and Unicode

Total characters36337
Distinct characters55
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNYC Department of Education
2nd rowNYC Housing Authority
3rd rowNYC Department of Youth & Community Development
4th rowNYC Mayor's Office of Immigrant Affairs
5th rowUS Department of Housing & Urban Development/ US Department of Veterans Affairs
ValueCountFrequency (%)
nyc 886
16.5%
of 716
 
13.3%
department 664
 
12.4%
352
 
6.6%
health 201
 
3.7%
administration 181
 
3.4%
development 165
 
3.1%
education 146
 
2.7%
resources 132
 
2.5%
human 132
 
2.5%
Other values (47) 1795
33.4%
2023-12-09T20:32:32.973935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4383
 
12.1%
e 3204
 
8.8%
t 3059
 
8.4%
n 2417
 
6.7%
o 2217
 
6.1%
a 1883
 
5.2%
i 1767
 
4.9%
r 1635
 
4.5%
m 1519
 
4.2%
C 1233
 
3.4%
Other values (45) 13020
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24832
68.3%
Uppercase Letter 6495
 
17.9%
Space Separator 4383
 
12.1%
Other Punctuation 449
 
1.2%
Decimal Number 74
 
0.2%
Math Symbol 52
 
0.1%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3204
12.9%
t 3059
12.3%
n 2417
9.7%
o 2217
8.9%
a 1883
 
7.6%
i 1767
 
7.1%
r 1635
 
6.6%
m 1519
 
6.1%
s 1093
 
4.4%
u 979
 
3.9%
Other values (13) 5059
20.4%
Uppercase Letter
ValueCountFrequency (%)
C 1233
19.0%
Y 1219
18.8%
N 1093
16.8%
D 856
13.2%
H 591
9.1%
A 358
 
5.5%
S 255
 
3.9%
E 179
 
2.8%
R 172
 
2.6%
M 127
 
2.0%
Other values (9) 412
 
6.3%
Decimal Number
ValueCountFrequency (%)
9 22
29.7%
0 15
20.3%
1 15
20.3%
2 15
20.3%
7 7
 
9.5%
Other Punctuation
ValueCountFrequency (%)
& 234
52.1%
/ 140
31.2%
' 60
 
13.4%
\ 15
 
3.3%
Space Separator
ValueCountFrequency (%)
4383
100.0%
Math Symbol
ValueCountFrequency (%)
+ 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31327
86.2%
Common 5010
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3204
 
10.2%
t 3059
 
9.8%
n 2417
 
7.7%
o 2217
 
7.1%
a 1883
 
6.0%
i 1767
 
5.6%
r 1635
 
5.2%
m 1519
 
4.8%
C 1233
 
3.9%
Y 1219
 
3.9%
Other values (32) 11174
35.7%
Common
ValueCountFrequency (%)
4383
87.5%
& 234
 
4.7%
/ 140
 
2.8%
' 60
 
1.2%
+ 52
 
1.0%
( 26
 
0.5%
) 26
 
0.5%
9 22
 
0.4%
0 15
 
0.3%
1 15
 
0.3%
Other values (3) 37
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4383
 
12.1%
e 3204
 
8.8%
t 3059
 
8.4%
n 2417
 
6.7%
o 2217
 
6.1%
a 1883
 
5.2%
i 1767
 
4.9%
r 1635
 
4.5%
m 1519
 
4.2%
C 1233
 
3.4%
Other values (45) 13020
35.8%

population_served
Text

MISSING 

Distinct41
Distinct (%)4.3%
Missing46
Missing (%)4.6%
Memory size81.3 KiB
2023-12-09T20:32:33.192082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length133
Median length116
Mean length28.56813417
Min length7

Characters and Unicode

Total characters27254
Distinct characters41
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChildren (0-13), Families, Immigrants, NYCHA residents, Students
2nd rowNYCHA residents, Youth (10+)
3rd rowYouth (10+)
4th rowEveryone
5th rowVeterans
ValueCountFrequency (%)
students 301
 
8.6%
youth 294
 
8.4%
10 294
 
8.4%
children 292
 
8.3%
0-13 292
 
8.3%
everyone 263
 
7.5%
families 194
 
5.5%
with 145
 
4.1%
disabilities 145
 
4.1%
seniors 145
 
4.1%
Other values (10) 1134
32.4%
2023-12-09T20:32:33.614094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2730
 
10.0%
2545
 
9.3%
n 1859
 
6.8%
i 1773
 
6.5%
t 1766
 
6.5%
s 1502
 
5.5%
r 1280
 
4.7%
, 1121
 
4.1%
d 869
 
3.2%
a 854
 
3.1%
Other values (31) 10955
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17562
64.4%
Uppercase Letter 2599
 
9.5%
Space Separator 2545
 
9.3%
Decimal Number 1464
 
5.4%
Other Punctuation 1326
 
4.9%
Open Punctuation 586
 
2.2%
Close Punctuation 586
 
2.2%
Math Symbol 294
 
1.1%
Dash Punctuation 292
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2730
15.5%
n 1859
10.6%
i 1773
10.1%
t 1766
10.1%
s 1502
8.6%
r 1280
 
7.3%
d 869
 
4.9%
a 854
 
4.9%
o 847
 
4.8%
l 776
 
4.4%
Other values (9) 3306
18.8%
Uppercase Letter
ValueCountFrequency (%)
S 446
17.2%
Y 425
16.4%
C 423
16.3%
P 284
10.9%
E 263
10.1%
F 194
7.5%
N 131
 
5.0%
H 131
 
5.0%
A 131
 
5.0%
I 92
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 1121
84.5%
& 139
 
10.5%
; 66
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 586
40.0%
0 586
40.0%
3 292
19.9%
Space Separator
ValueCountFrequency (%)
2545
100.0%
Open Punctuation
ValueCountFrequency (%)
( 586
100.0%
Close Punctuation
ValueCountFrequency (%)
) 586
100.0%
Math Symbol
ValueCountFrequency (%)
+ 294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20161
74.0%
Common 7093
 
26.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2730
13.5%
n 1859
 
9.2%
i 1773
 
8.8%
t 1766
 
8.8%
s 1502
 
7.5%
r 1280
 
6.3%
d 869
 
4.3%
a 854
 
4.2%
o 847
 
4.2%
l 776
 
3.8%
Other values (20) 5905
29.3%
Common
ValueCountFrequency (%)
2545
35.9%
, 1121
15.8%
( 586
 
8.3%
1 586
 
8.3%
0 586
 
8.3%
) 586
 
8.3%
+ 294
 
4.1%
- 292
 
4.1%
3 292
 
4.1%
& 139
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2730
 
10.0%
2545
 
9.3%
n 1859
 
6.8%
i 1773
 
6.5%
t 1766
 
6.5%
s 1502
 
5.5%
r 1280
 
4.7%
, 1121
 
4.1%
d 869
 
3.2%
a 854
 
3.1%
Other values (31) 10955
40.2%

age_group
Text

MISSING 

Distinct21
Distinct (%)2.1%
Missing13
Missing (%)1.3%
Memory size72.8 KiB
2023-12-09T20:32:33.811918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length43
Mean length17.99189463
Min length7

Characters and Unicode

Total characters17758
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowToddler, Pre-Schooler
2nd rowTeen, Young Adult
3rd rowTeen, Young Adult
4th rowEveryone
5th rowCaregiver
ValueCountFrequency (%)
caregiver 423
19.2%
teen 330
14.9%
young 320
14.5%
adult 320
14.5%
everyone 220
10.0%
pre-teen 168
 
7.6%
pre-schooler 123
 
5.6%
grade-schooler 121
 
5.5%
toddler 101
 
4.6%
baby 82
 
3.7%
2023-12-09T20:32:34.128716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 3039
17.1%
r 1823
 
10.3%
1221
 
6.9%
o 1129
 
6.4%
n 1038
 
5.8%
, 901
 
5.1%
g 743
 
4.2%
l 665
 
3.7%
d 643
 
3.6%
v 643
 
3.6%
Other values (18) 5913
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12604
71.0%
Uppercase Letter 2620
 
14.8%
Space Separator 1221
 
6.9%
Other Punctuation 901
 
5.1%
Dash Punctuation 412
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3039
24.1%
r 1823
14.5%
o 1129
 
9.0%
n 1038
 
8.2%
g 743
 
5.9%
l 665
 
5.3%
d 643
 
5.1%
v 643
 
5.1%
u 640
 
5.1%
a 626
 
5.0%
Other values (6) 1615
12.8%
Uppercase Letter
ValueCountFrequency (%)
T 599
22.9%
C 423
16.1%
Y 320
12.2%
A 320
12.2%
P 291
11.1%
S 244
9.3%
E 220
 
8.4%
G 121
 
4.6%
B 82
 
3.1%
Space Separator
ValueCountFrequency (%)
1221
100.0%
Other Punctuation
ValueCountFrequency (%)
, 901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 412
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15224
85.7%
Common 2534
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3039
20.0%
r 1823
12.0%
o 1129
 
7.4%
n 1038
 
6.8%
g 743
 
4.9%
l 665
 
4.4%
d 643
 
4.2%
v 643
 
4.2%
u 640
 
4.2%
a 626
 
4.1%
Other values (15) 4235
27.8%
Common
ValueCountFrequency (%)
1221
48.2%
, 901
35.6%
- 412
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3039
17.1%
r 1823
 
10.3%
1221
 
6.9%
o 1129
 
6.4%
n 1038
 
5.8%
, 901
 
5.1%
g 743
 
4.2%
l 665
 
3.7%
d 643
 
3.6%
v 643
 
3.6%
Other values (18) 5913
33.3%
Distinct82
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size86.9 KiB
2023-12-09T20:32:34.527725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length50
Median length39
Mean length31.853
Min length15

Characters and Unicode

Total characters31853
Distinct characters68
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEarly education for three-year-olds
2nd rowJob assistance for public housing residents
3rd rowJob prep for youth not working or in school
4th rowFree citizenship application assistance
5th rowSupportive Housing for Veterans
ValueCountFrequency (%)
for 692
 
13.7%
158
 
3.1%
school 133
 
2.6%
health 121
 
2.4%
care 114
 
2.3%
services 94
 
1.9%
and 91
 
1.8%
with 87
 
1.7%
tax 80
 
1.6%
youth 79
 
1.6%
Other values (171) 3417
67.4%
2023-12-09T20:32:35.098743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4066
12.8%
e 3150
 
9.9%
r 2472
 
7.8%
o 2420
 
7.6%
i 1837
 
5.8%
s 1788
 
5.6%
t 1635
 
5.1%
a 1595
 
5.0%
n 1511
 
4.7%
l 1307
 
4.1%
Other values (58) 10072
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25655
80.5%
Space Separator 4066
 
12.8%
Uppercase Letter 1597
 
5.0%
Other Punctuation 204
 
0.6%
Dash Punctuation 194
 
0.6%
Decimal Number 111
 
0.3%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3150
12.3%
r 2472
 
9.6%
o 2420
 
9.4%
i 1837
 
7.2%
s 1788
 
7.0%
t 1635
 
6.4%
a 1595
 
6.2%
n 1511
 
5.9%
l 1307
 
5.1%
f 1046
 
4.1%
Other values (16) 6894
26.9%
Uppercase Letter
ValueCountFrequency (%)
H 266
16.7%
S 184
11.5%
C 158
 
9.9%
A 109
 
6.8%
P 91
 
5.7%
T 79
 
4.9%
L 78
 
4.9%
F 72
 
4.5%
I 67
 
4.2%
R 66
 
4.1%
Other values (14) 427
26.7%
Decimal Number
ValueCountFrequency (%)
8 20
18.0%
2 13
11.7%
1 13
11.7%
6 13
11.7%
9 13
11.7%
4 13
11.7%
3 13
11.7%
5 13
11.7%
Other Punctuation
ValueCountFrequency (%)
& 119
58.3%
: 39
 
19.1%
/ 13
 
6.4%
. 13
 
6.4%
, 13
 
6.4%
' 7
 
3.4%
Space Separator
ValueCountFrequency (%)
4066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27252
85.6%
Common 4601
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3150
 
11.6%
r 2472
 
9.1%
o 2420
 
8.9%
i 1837
 
6.7%
s 1788
 
6.6%
t 1635
 
6.0%
a 1595
 
5.9%
n 1511
 
5.5%
l 1307
 
4.8%
f 1046
 
3.8%
Other values (40) 8491
31.2%
Common
ValueCountFrequency (%)
4066
88.4%
- 194
 
4.2%
& 119
 
2.6%
: 39
 
0.8%
8 20
 
0.4%
2 13
 
0.3%
1 13
 
0.3%
/ 13
 
0.3%
. 13
 
0.3%
, 13
 
0.3%
Other values (8) 98
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4066
12.8%
e 3150
 
9.9%
r 2472
 
7.8%
o 2420
 
7.6%
i 1837
 
5.8%
s 1788
 
5.6%
t 1635
 
5.1%
a 1595
 
5.0%
n 1511
 
4.7%
l 1307
 
4.1%
Other values (58) 10072
31.6%
Distinct82
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size324.1 KiB
2023-12-09T20:32:35.556435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length588
Median length279
Mean length274.779
Min length129

Characters and Unicode

Total characters274779
Distinct characters80
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> 3-K for All provides free, full-day, high-quality early childhood education for every three-year-old regardless of family income. For the 2018-2019 school year, 3-K for All will be available in School Districts 4 (East Harlem), 5 (Harlem), 7 (South Bronx), 16 (Bedford-Stuyvesant, Crown Heights), 23 (Brownsville, East New York, Ocean Hill), and 27 (Broad Channel, Howard Beach, Ozone Park, Rockaways). </p>
2nd row<p> Jobs Plus is an employment program for working-age NYCHA residents. It helps participants find work and keep more of their earned income. Jobs Plus offers job-related services, help with finances, and community support. </p>
3rd row<p> Train & Earn is a short-term career pathway program for low-income youth, who are not working and not in school. Train & Earn helps youth improve their job skills and find permanent work. It also provides High School Equivalency (HSE) prep and support services. </p> <p> Youth receive up to 12 months of follow-up services after finishing the program. </p>
4th row<p> NYCitizenship provides free legal assistance with citizenship applications and financial counseling at select NYC public libraries and in partnership with the Department of Social Services. </p>
5th row<p> Veterans and their families who are homeless can get help through HUD-VASH. The program helps veterans find and keep permanent housing by providing Section 8 rental vouchers as well as case management and other supportive services at VA medical centers. </p>
ValueCountFrequency (%)
p 2182
 
5.1%
and 1965
 
4.6%
the 1092
 
2.6%
to 899
 
2.1%
can 780
 
1.8%
for 741
 
1.7%
a 713
 
1.7%
get 600
 
1.4%
you 597
 
1.4%
in 548
 
1.3%
Other values (979) 32290
76.1%
2023-12-09T20:32:36.185058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50035
18.2%
e 23318
 
8.5%
a 15162
 
5.5%
o 15093
 
5.5%
r 14321
 
5.2%
i 14205
 
5.2%
t 13869
 
5.0%
n 13798
 
5.0%
s 12505
 
4.6%
l 10051
 
3.7%
Other values (70) 92422
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 196106
71.4%
Space Separator 50035
 
18.2%
Uppercase Letter 9895
 
3.6%
Other Punctuation 7730
 
2.8%
Math Symbol 7513
 
2.7%
Decimal Number 1806
 
0.7%
Dash Punctuation 776
 
0.3%
Close Punctuation 389
 
0.1%
Open Punctuation 389
 
0.1%
Currency Symbol 94
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 23318
11.9%
a 15162
 
7.7%
o 15093
 
7.7%
r 14321
 
7.3%
i 14205
 
7.2%
t 13869
 
7.1%
n 13798
 
7.0%
s 12505
 
6.4%
l 10051
 
5.1%
h 8872
 
4.5%
Other values (16) 54912
28.0%
Uppercase Letter
ValueCountFrequency (%)
C 1455
14.7%
S 1032
10.4%
Y 951
9.6%
N 747
 
7.5%
T 713
 
7.2%
A 712
 
7.2%
H 698
 
7.1%
P 636
 
6.4%
E 590
 
6.0%
I 438
 
4.4%
Other values (14) 1923
19.4%
Other Punctuation
ValueCountFrequency (%)
. 2461
31.8%
, 2408
31.2%
/ 2169
28.1%
" 210
 
2.7%
: 184
 
2.4%
\ 102
 
1.3%
' 87
 
1.1%
& 82
 
1.1%
; 14
 
0.2%
# 13
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 435
24.1%
1 336
18.6%
2 298
16.5%
4 157
 
8.7%
9 150
 
8.3%
6 127
 
7.0%
3 95
 
5.3%
8 86
 
4.8%
7 75
 
4.2%
5 47
 
2.6%
Math Symbol
ValueCountFrequency (%)
< 3678
49.0%
> 3678
49.0%
= 105
 
1.4%
+ 52
 
0.7%
Space Separator
ValueCountFrequency (%)
50035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 776
100.0%
Close Punctuation
ValueCountFrequency (%)
) 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 389
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 94
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 206001
75.0%
Common 68778
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 23318
 
11.3%
a 15162
 
7.4%
o 15093
 
7.3%
r 14321
 
7.0%
i 14205
 
6.9%
t 13869
 
6.7%
n 13798
 
6.7%
s 12505
 
6.1%
l 10051
 
4.9%
h 8872
 
4.3%
Other values (40) 64807
31.5%
Common
ValueCountFrequency (%)
50035
72.7%
< 3678
 
5.3%
> 3678
 
5.3%
. 2461
 
3.6%
, 2408
 
3.5%
/ 2169
 
3.2%
- 776
 
1.1%
0 435
 
0.6%
) 389
 
0.6%
( 389
 
0.6%
Other values (20) 2360
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 274779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50035
18.2%
e 23318
 
8.5%
a 15162
 
5.5%
o 15093
 
5.5%
r 14321
 
5.2%
i 14205
 
5.2%
t 13869
 
5.0%
n 13798
 
5.0%
s 12505
 
4.6%
l 10051
 
3.7%
Other values (70) 92422
33.6%
Distinct83
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size152.3 KiB
2023-12-09T20:32:36.498998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length167
Median length124
Mean length98.829
Min length48

Characters and Unicode

Total characters98829
Distinct characters72
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<p> 3-K for All is free, full-day, high-quality education for New York City 3-year-olds, starting in School Districts 4, 5, 7, 16, 23, and 27. </p>
2nd row<p> Jobs Plus is an employment program that helps NYCHA residents find employment and increase their earnings. </p>
3rd row<p> Train & Earn offers job training and job placement help to unemployed youth who are not in school. </p>
4th row<p> Free citizenship application assistance and financial counseling. </p>
5th row<p> The VA assists homeless veterans and their families find and maintain permanent housing. </p>
ValueCountFrequency (%)
p 2000
 
12.7%
and 868
 
5.5%
for 568
 
3.6%
can 264
 
1.7%
in 259
 
1.7%
free 228
 
1.5%
with 207
 
1.3%
school 203
 
1.3%
help 197
 
1.3%
get 195
 
1.2%
Other values (428) 10698
68.2%
2023-12-09T20:32:36.984102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18687
18.9%
e 8130
 
8.2%
a 5385
 
5.4%
n 5362
 
5.4%
o 5269
 
5.3%
r 5182
 
5.2%
i 4923
 
5.0%
t 4557
 
4.6%
s 4212
 
4.3%
p 4017
 
4.1%
Other values (62) 33105
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 69206
70.0%
Space Separator 18687
 
18.9%
Math Symbol 4039
 
4.1%
Uppercase Letter 2964
 
3.0%
Other Punctuation 2851
 
2.9%
Decimal Number 615
 
0.6%
Dash Punctuation 375
 
0.4%
Currency Symbol 40
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Open Punctuation 26
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8130
11.7%
a 5385
 
7.8%
n 5362
 
7.7%
o 5269
 
7.6%
r 5182
 
7.5%
i 4923
 
7.1%
t 4557
 
6.6%
s 4212
 
6.1%
p 4017
 
5.8%
l 3119
 
4.5%
Other values (16) 19050
27.5%
Uppercase Letter
ValueCountFrequency (%)
S 397
13.4%
C 325
11.0%
Y 283
9.5%
N 277
9.3%
A 229
 
7.7%
E 208
 
7.0%
P 179
 
6.0%
H 174
 
5.9%
I 146
 
4.9%
T 138
 
4.7%
Other values (13) 608
20.5%
Decimal Number
ValueCountFrequency (%)
1 119
19.3%
2 88
14.3%
4 86
14.0%
6 81
13.2%
3 68
11.1%
0 65
10.6%
8 46
 
7.5%
7 41
 
6.7%
5 21
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 1014
35.6%
/ 1000
35.1%
, 745
26.1%
& 45
 
1.6%
' 33
 
1.2%
: 14
 
0.5%
Math Symbol
ValueCountFrequency (%)
< 2013
49.8%
> 2013
49.8%
+ 13
 
0.3%
Space Separator
ValueCountFrequency (%)
18687
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 375
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 72170
73.0%
Common 26659
 
27.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8130
 
11.3%
a 5385
 
7.5%
n 5362
 
7.4%
o 5269
 
7.3%
r 5182
 
7.2%
i 4923
 
6.8%
t 4557
 
6.3%
s 4212
 
5.8%
p 4017
 
5.6%
l 3119
 
4.3%
Other values (39) 22014
30.5%
Common
ValueCountFrequency (%)
18687
70.1%
< 2013
 
7.6%
> 2013
 
7.6%
. 1014
 
3.8%
/ 1000
 
3.8%
, 745
 
2.8%
- 375
 
1.4%
1 119
 
0.4%
2 88
 
0.3%
4 86
 
0.3%
Other values (13) 519
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18687
18.9%
e 8130
 
8.2%
a 5385
 
5.4%
n 5362
 
5.4%
o 5269
 
5.3%
r 5182
 
5.2%
i 4923
 
5.0%
t 4557
 
4.6%
s 4212
 
4.3%
p 4017
 
4.1%
Other values (62) 33105
33.5%

heads_up
Text

MISSING 

Distinct78
Distinct (%)8.3%
Missing59
Missing (%)5.9%
Memory size495.9 KiB
2023-12-09T20:32:37.359629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1416
Median length512
Mean length480.5292242
Min length150

Characters and Unicode

Total characters452178
Distinct characters83
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<ul> <li>If you have a child born in 2015 and want to learn more, visit the <a href="https://maps.nyc.gov/3k/#form-page" target="_blank">3-K for All website</a> or call <a href="tel:311">311</a>. </li> <li>The City will expand to two additional school districts each year. These districts include: <ul> <li>2019-20: District 9 (Grand Concourse, Highbridge, Morrisania) and District 31 (Staten Island). </li> <li>2020-21: District 19 (East New York) and District 29 (Cambria Heights, Hollis, Laurelton, Queens Village, Springfield Gardens, St. Albans). </li> </ul> </li> </ul>
2nd row<ul> <li>Jobs Plus is available at 27 NYCHA developments across 10 sites. </li> <li>Participants can also enroll in the <a href="http://opportunitynycha.org/about-financial-empowerment/rent-incentives/" target="_blank">Earned Income Disallowance (EID) program</a> to prevent rent increases once they find a job or get a raise. </li> </ul>
3rd row<ul> <li>Available for youth 16 - 24 years old, who are not working and not in school </li> <li>College placement, HSE prep, and support services are also available </li> <li>Enroll at different times throughout the year </li> </ul>
4th row<ul> <li>Meet with a <strong>FREE</strong> immigration attorney to help you determine if you qualify to apply for U.S. citizenship </li> <li>If you qualify for a fee waiver, apply for citizenship for free with no application fee </li> <li>Receive free and confidential financial counseling </li> <li>An appointment is required to get help. Call <a href="tel:311">311</a> and say "Citizenship appointment\u201d </li> <li>As a U.S citizen, you can vote in elections, apply for a U.S passport, access more jobs and more </li> </ul>
5th row<ul> <li>Call <a href="tel:877-424-3838">877-424-3838</a> to be connected with your local homeless program and apply </li> <li>Case management is an important part of the program, and you will be required to participate </li> <li>You must re-certify each year to keep your housing voucher </li> <li>You must contribute 30% of your monthly income towards rent, the voucher will cover the rest </li> </ul>
ValueCountFrequency (%)
li 3797
 
6.3%
ul 1954
 
3.2%
and 1587
 
2.6%
to 1559
 
2.6%
a 1326
 
2.2%
the 1266
 
2.1%
you 1233
 
2.0%
for 1166
 
1.9%
are 927
 
1.5%
or 878
 
1.5%
Other values (1182) 44835
74.1%
2023-12-09T20:32:37.916397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92743
20.5%
e 33013
 
7.3%
i 27585
 
6.1%
a 23594
 
5.2%
l 23103
 
5.1%
o 22433
 
5.0%
t 21851
 
4.8%
r 19968
 
4.4%
n 19606
 
4.3%
s 15585
 
3.4%
Other values (73) 152697
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 296314
65.5%
Space Separator 92743
 
20.5%
Math Symbol 23707
 
5.2%
Other Punctuation 16377
 
3.6%
Uppercase Letter 14039
 
3.1%
Decimal Number 5794
 
1.3%
Dash Punctuation 1875
 
0.4%
Connector Punctuation 472
 
0.1%
Close Punctuation 396
 
0.1%
Open Punctuation 396
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 33013
11.1%
i 27585
 
9.3%
a 23594
 
8.0%
l 23103
 
7.8%
o 22433
 
7.6%
t 21851
 
7.4%
r 19968
 
6.7%
n 19606
 
6.6%
s 15585
 
5.3%
u 11310
 
3.8%
Other values (16) 78266
26.4%
Uppercase Letter
ValueCountFrequency (%)
C 1837
13.1%
S 1534
10.9%
A 1376
 
9.8%
Y 1103
 
7.9%
E 926
 
6.6%
I 926
 
6.6%
N 825
 
5.9%
H 750
 
5.3%
T 671
 
4.8%
F 631
 
4.5%
Other values (15) 3460
24.6%
Other Punctuation
ValueCountFrequency (%)
/ 8239
50.3%
, 2604
 
15.9%
" 2183
 
13.3%
. 1963
 
12.0%
: 813
 
5.0%
\ 182
 
1.1%
' 182
 
1.1%
; 81
 
0.5%
# 53
 
0.3%
& 51
 
0.3%
Other values (2) 26
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 1418
24.5%
0 1080
18.6%
2 762
13.2%
8 641
11.1%
7 374
 
6.5%
3 362
 
6.2%
9 327
 
5.6%
4 322
 
5.6%
5 266
 
4.6%
6 242
 
4.2%
Math Symbol
ValueCountFrequency (%)
> 11285
47.6%
< 11285
47.6%
= 1098
 
4.6%
+ 39
 
0.2%
Space Separator
ValueCountFrequency (%)
92743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1875
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 396
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 310353
68.6%
Common 141825
31.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 33013
 
10.6%
i 27585
 
8.9%
a 23594
 
7.6%
l 23103
 
7.4%
o 22433
 
7.2%
t 21851
 
7.0%
r 19968
 
6.4%
n 19606
 
6.3%
s 15585
 
5.0%
u 11310
 
3.6%
Other values (41) 92305
29.7%
Common
ValueCountFrequency (%)
92743
65.4%
> 11285
 
8.0%
< 11285
 
8.0%
/ 8239
 
5.8%
, 2604
 
1.8%
" 2183
 
1.5%
. 1963
 
1.4%
- 1875
 
1.3%
1 1418
 
1.0%
= 1098
 
0.8%
Other values (22) 7132
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 452178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92743
20.5%
e 33013
 
7.3%
i 27585
 
6.1%
a 23594
 
5.2%
l 23103
 
5.1%
o 22433
 
5.0%
t 21851
 
4.8%
r 19968
 
4.4%
n 19606
 
4.3%
s 15585
 
3.4%
Other values (73) 152697
33.8%
Distinct84
Distinct (%)8.5%
Missing13
Missing (%)1.3%
Memory size722.5 KiB
2023-12-09T20:32:38.275999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6231
Median length450
Mean length692.0547112
Min length69

Characters and Unicode

Total characters683058
Distinct characters80
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<p> NYC families who have a child born in 2015 can apply to 3-K for All in School Districts 4, 5, 7,16, 23, and 27. </p>
2nd row<p> Jobs Plus is open to all NYCHA residents old enough to work. </p>
3rd row<p> To be eligible for Train & Earn, you should be able to answer 'yes' to these questions: </p> <ul> <li>Are you a resident of NYC? </li> <li>Are you 16 \u2013 24 years old? </li> <li>Are you <strong>not</strong> attending school and <strong>not</strong> working? </li> <li>Do you meet <strong>one</strong> of these requirements: <ul> <li>You are a homeless or runaway youth </li> <li>You are a foster care youth or have aged out of foster care system </li> <li>You are in involved in the justice system </li> <li>You are a youth with a disability </li> <li>You are pregnant or a parent </li> <li>You are low-income and need additional help to enter or complete an education program or to get or hold a job </li> </ul> </li> </ul> <p> If you have additional questions about eligibility, call DYCD Youth Connect at <a href="tel:800-246-4646">800-246-4646</a>. </p>
4th row<ul> <li>Be at least 18 years old </li> <li>Be a permanent resident (have a \u201cGreen Card\u201d) for at least 5 years, or 3 years if married to a U.S. citizen </li> <li>Other eligibility is determined by immigration attorney </li> </ul>
5th row<ul> <li>To be eligible for HUD-VASH, you must be eligible for VA health care and meet the <a href="https://www.hudexchange.info/resources/documents/HomelessAssistanceActAmendedbyHEARTH.pdf" target="_blank">federal definition of homelessness</a> or at risk of being homeless </li> <li>You must have income within the program guidelines and willingness to receive case management from the VA </li> <li>The National Call Center for Homeless Veterans can help you determine if you are eligible. Call <a href="tel:877-424-3838">877-424-3838</a> to find out </li> </ul>
ValueCountFrequency (%)
td 6656
 
8.8%
li 2959
 
3.9%
you 2650
 
3.5%
to 2372
 
3.2%
p 2134
 
2.8%
a 1896
 
2.5%
ul 1856
 
2.5%
or 1828
 
2.4%
tr 1820
 
2.4%
be 1199
 
1.6%
Other values (1093) 49887
66.3%
2023-12-09T20:32:38.812478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298562
43.7%
e 32598
 
4.8%
t 26805
 
3.9%
o 23852
 
3.5%
i 23057
 
3.4%
< 21450
 
3.1%
> 21450
 
3.1%
l 20852
 
3.1%
r 20487
 
3.0%
a 18114
 
2.7%
Other values (70) 175831
25.7%

Most occurring categories

ValueCountFrequency (%)
Space Separator 298562
43.7%
Lowercase Letter 285134
41.7%
Math Symbol 43417
 
6.4%
Other Punctuation 22381
 
3.3%
Decimal Number 16356
 
2.4%
Uppercase Letter 12556
 
1.8%
Currency Symbol 2600
 
0.4%
Dash Punctuation 1157
 
0.2%
Open Punctuation 325
 
< 0.1%
Close Punctuation 325
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 32598
11.4%
t 26805
 
9.4%
o 23852
 
8.4%
i 23057
 
8.1%
l 20852
 
7.3%
r 20487
 
7.2%
a 18114
 
6.4%
n 15671
 
5.5%
s 15445
 
5.4%
d 14886
 
5.2%
Other values (16) 73367
25.7%
Uppercase Letter
ValueCountFrequency (%)
A 1824
14.5%
C 1542
12.3%
Y 1208
9.6%
I 1174
9.4%
S 1083
8.6%
N 951
7.6%
D 880
7.0%
T 839
 
6.7%
H 519
 
4.1%
E 396
 
3.2%
Other values (14) 2140
17.0%
Other Punctuation
ValueCountFrequency (%)
/ 11864
53.0%
, 4502
 
20.1%
. 1897
 
8.5%
? 1740
 
7.8%
" 1008
 
4.5%
: 1001
 
4.5%
' 139
 
0.6%
\ 117
 
0.5%
& 64
 
0.3%
; 49
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 2539
15.5%
2 2000
12.2%
0 1966
12.0%
6 1787
10.9%
5 1496
9.1%
4 1469
9.0%
3 1442
8.8%
8 1350
8.3%
7 1296
7.9%
9 1011
 
6.2%
Math Symbol
ValueCountFrequency (%)
< 21450
49.4%
> 21450
49.4%
= 491
 
1.1%
+ 26
 
0.1%
Space Separator
ValueCountFrequency (%)
298562
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 325
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385368
56.4%
Latin 297690
43.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 32598
 
11.0%
t 26805
 
9.0%
o 23852
 
8.0%
i 23057
 
7.7%
l 20852
 
7.0%
r 20487
 
6.9%
a 18114
 
6.1%
n 15671
 
5.3%
s 15445
 
5.2%
d 14886
 
5.0%
Other values (40) 85923
28.9%
Common
ValueCountFrequency (%)
298562
77.5%
< 21450
 
5.6%
> 21450
 
5.6%
/ 11864
 
3.1%
, 4502
 
1.2%
$ 2600
 
0.7%
1 2539
 
0.7%
2 2000
 
0.5%
0 1966
 
0.5%
. 1897
 
0.5%
Other values (20) 16538
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 683058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
298562
43.7%
e 32598
 
4.8%
t 26805
 
3.9%
o 23852
 
3.5%
i 23057
 
3.4%
< 21450
 
3.1%
> 21450
 
3.1%
l 20852
 
3.1%
r 20487
 
3.0%
a 18114
 
2.7%
Other values (70) 175831
25.7%

how_to_apply_summary
Text

MISSING 

Distinct86
Distinct (%)9.5%
Missing95
Missing (%)9.5%
Memory size677.9 KiB
2023-12-09T20:32:39.179568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1989
Median length901
Mean length706.5414365
Min length101

Characters and Unicode

Total characters639420
Distinct characters84
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<p> To request more information on applying visit the <a href="https://maps.nyc.gov/3k/#form-page" target="_blank"><u>3-K for All website</u></a>. </p>
2nd row<p> To apply for Jobs Plus, <a href="http://opportunitynycha.org/workforce-development/jobs-plus/" target="_blank">contact a site near you</a>. </p>
3rd row<p> You can use Discover DYCD to find programs in your area. To get started: </p> <ol> <li>Go to the <a href="http://www.dycdportal.nyc/discoverdycd/home" target="_blank">Discover DYCD</a> website. </li> <li>Click \u201dShow Advanced Search" in the "Basic Search" box. </li> <li>Select "Youth Workforce Development" from the "All Programs" dropdown and an "OSY" program from the "All Sub-programs" dropdown. </li> </ol>
4th row<p> To receive services, call <a href="tel:311">311</a> and say "citizenship appointment"<strong>. No walk-ins.</strong><br> Services are available at select NYC libraries. </p> <ul> <li> <a href="https://www.bklynlibrary.org/learn/immigrants/citizenship" target="_blank"><strong>Brooklyn Public Library</strong></a>:<br> <a href="https://www.bklynlibrary.org/locations/eastern-parkway" target="_blank">Eastern Parkway Library</a>, <a href="https://www.bklynlibrary.org/locations/flatbush" target="_blank">Flatbush Library</a>, <a href="https://www.bklynlibrary.org/locations/kings-highway" target="_blank">Kings Highway Library</a>, <a href="https://www.bklynlibrary.org/locations/new-utrecht" target="_blank">New Utrecht Library<br></a><br> </li> <li> <a href="https://www.nypl.org/help/community-outreach/nycitizenship" target="_blank"><strong>New York Public Library</strong></a>:<br> <a href="https://www.nypl.org/locations/bronx-library-center" target="_blank">Bronx Library Center</a>, <a href="https://www.nypl.org/locations/sibl" target="_blank">Science Business and Industry Library- Midtown</a>, <a href="https://www.nypl.org/locations/st-george-library-center" target="_blank">St. George Library Center- Staten Island</a>, <a href="https://www.nypl.org/locations/inwood" target="_blank">Inwood Library</a> </li> </ul> <ul> <li> <a href="http://www.queenslibrary.org/services/citizenship-immigration/nycitizenship-sessions" target="_blank"><strong>Queens Public Library</strong></a>:<br> <a href="http://www.queenslibrary.org/branch/Jackson-Heights/" target="_blank">Jackson Heights Library</a>, <a href="http://www.queenslibrary.org/branch/Central-Library" target="_blank">Central Library- Jamaica</a>, <a href="http://www.queenslibrary.org/branch/Flushing" target="_blank">Flushing Library</a>, <a href="http://www.queenslibrary.org/branch/Astoria" target="_blank">Astoria Library</a> </li> </ul>
5th row<ul> <li>To apply for HUD-VASH, call the National Call Center for Homeless Veterans at <a href="tel:877-424-3838">877-424-3838</a>, which will connect you to your local VA homeless program </li> <li>Veterans can also apply in person at the following locations:<br> <strong>The VA Medical Center</strong><br> Bronx, NY 10468<br> Phone: <a href="tel:718-584-9000">718-584-9000</a><br> M-T-F from 6:45 a.m. to 3:15 p.m.<br> 130 West Kingsbridge Road or at </li> </ul> <p> <strong>The VA NY Harbor Site</strong><br> 423 East 23rd Street 2nd Floor Room 2207N<br> New York, NY 10010<br> Phone: <a href="tel:212-686-7500">212-686-7500</a><br> Mondays from 9:00 a.m. - 4:30 p.m.<br> Thursdays from 11:00 a.m. - 4:30 p.m. </p>
ValueCountFrequency (%)
a 3608
 
5.4%
li 2990
 
4.5%
the 2578
 
3.9%
to 2230
 
3.4%
p 1514
 
2.3%
you 1488
 
2.2%
ul 1477
 
2.2%
your 1442
 
2.2%
and 1108
 
1.7%
for 960
 
1.5%
Other values (1312) 46810
70.7%
2023-12-09T20:32:39.721364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105316
 
16.5%
e 37225
 
5.8%
a 34082
 
5.3%
t 33053
 
5.2%
o 31814
 
5.0%
r 27351
 
4.3%
l 26736
 
4.2%
n 26142
 
4.1%
i 25988
 
4.1%
s 18834
 
2.9%
Other values (74) 272879
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 389766
61.0%
Space Separator 105316
 
16.5%
Other Punctuation 44209
 
6.9%
Math Symbol 38171
 
6.0%
Uppercase Letter 27812
 
4.3%
Decimal Number 24728
 
3.9%
Dash Punctuation 5564
 
0.9%
Connector Punctuation 3295
 
0.5%
Close Punctuation 273
 
< 0.1%
Open Punctuation 273
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 37225
 
9.6%
a 34082
 
8.7%
t 33053
 
8.5%
o 31814
 
8.2%
r 27351
 
7.0%
l 26736
 
6.9%
n 26142
 
6.7%
i 25988
 
6.7%
s 18834
 
4.8%
p 16022
 
4.1%
Other values (16) 112519
28.9%
Uppercase Letter
ValueCountFrequency (%)
C 2968
 
10.7%
A 2443
 
8.8%
S 2389
 
8.6%
Y 2186
 
7.9%
N 1985
 
7.1%
D 1591
 
5.7%
I 1456
 
5.2%
E 1438
 
5.2%
P 1395
 
5.0%
F 1392
 
5.0%
Other values (16) 8569
30.8%
Other Punctuation
ValueCountFrequency (%)
/ 18685
42.3%
" 9967
22.5%
. 8829
20.0%
: 3903
 
8.8%
, 1813
 
4.1%
? 228
 
0.5%
% 195
 
0.4%
& 181
 
0.4%
\ 158
 
0.4%
' 110
 
0.2%
Other values (2) 140
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 4417
17.9%
0 4247
17.2%
2 3520
14.2%
8 2473
10.0%
3 1968
8.0%
7 1937
7.8%
5 1782
7.2%
4 1739
 
7.0%
6 1477
 
6.0%
9 1168
 
4.7%
Math Symbol
ValueCountFrequency (%)
< 16574
43.4%
> 16574
43.4%
= 4984
 
13.1%
+ 39
 
0.1%
Space Separator
ValueCountFrequency (%)
105316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5564
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 273
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 417578
65.3%
Common 221842
34.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 37225
 
8.9%
a 34082
 
8.2%
t 33053
 
7.9%
o 31814
 
7.6%
r 27351
 
6.5%
l 26736
 
6.4%
n 26142
 
6.3%
i 25988
 
6.2%
s 18834
 
4.5%
p 16022
 
3.8%
Other values (42) 140331
33.6%
Common
ValueCountFrequency (%)
105316
47.5%
/ 18685
 
8.4%
< 16574
 
7.5%
> 16574
 
7.5%
" 9967
 
4.5%
. 8829
 
4.0%
- 5564
 
2.5%
= 4984
 
2.2%
1 4417
 
2.0%
0 4247
 
1.9%
Other values (22) 26685
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 639420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105316
 
16.5%
e 37225
 
5.8%
a 34082
 
5.3%
t 33053
 
5.2%
o 31814
 
5.0%
r 27351
 
4.3%
l 26736
 
4.2%
n 26142
 
4.1%
i 25988
 
4.1%
s 18834
 
2.9%
Other values (74) 272879
42.7%
Distinct45
Distinct (%)8.9%
Missing495
Missing (%)49.5%
Memory size267.2 KiB
2023-12-09T20:32:39.972987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1867
Median length525
Mean length453.2851485
Min length38

Characters and Unicode

Total characters228909
Distinct characters85
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row<p> To request more information on applying visit the <a href="https://maps.nyc.gov/3k/#form-page" target="_blank"><u>3-K for All website</u></a>. <a href="http://nyc.gov/3k" target="_blank"></a> </p>
2nd row<p> You can use Discover DYCD to find programs in your area. To get started: </p> <ol> <li>Go to the <a href="http://www.dycdportal.nyc/discoverdycd/home" target="_blank">Discover DYCD</a> website. </li> <li>Click \u201dShow Advanced Search" in the "Basic Search" box. </li> <li>Select "Youth Workforce Development" from the "All Programs" dropdown and an "OSY" program from the "All Sub-programs" dropdown </li> </ol>
3rd row<ol> <li>Use <a href="https://www.myschools.nyc/" target="_blank">MySchools</a> to find programs you're interested in. You can list up to 12 choices on your application, including schools outside of your zone and district. </li> <li>Submit your application <a href="https://www.myschools.nyc/" target="_blank">online through MySchools</a> during the application period (November - January each year). </li> </ol>
4th row<p> You can use Discover DYCD to find programs in your area. To get started: </p> <ol> <li>Go to the <a href="http://www.dycdportal.nyc/discoverdycd/home" target="_blank"><u>Discover DYCD</u></a> website. </li> <li>Click "Show Advanced Search" in the "Basic Search" box </li> <li>Select "Young Adult Internship Programs" from the "All Programs" dropdown </li> </ol>
5th row<p> You can use Discover DYCD to find programs in your area. To get started:<br> </p> <ol> <li>Go to the <a href="http://www.dycdportal.nyc/discoverdycd/home" target="_blank"><u>Discover DYCD</u></a> website. </li> <li>Click "Show Advanced Search" in the "Basic Search" box </li> <li>Select "Literacy Group" from the "All Programs" dropdown and "Young Adult Literacy Program- Pre HSE Instruction" in the All Sub-programs" dropdown </li> </ol>
ValueCountFrequency (%)
to 1326
 
5.2%
li 1243
 
4.8%
the 1128
 
4.4%
a 1125
 
4.4%
p 846
 
3.3%
your 746
 
2.9%
you 683
 
2.7%
ol 510
 
2.0%
for 482
 
1.9%
in 384
 
1.5%
Other values (587) 17191
67.0%
2023-12-09T20:32:40.400371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39411
17.2%
e 14245
 
6.2%
o 12629
 
5.5%
t 11511
 
5.0%
a 11250
 
4.9%
i 11012
 
4.8%
l 9830
 
4.3%
r 9166
 
4.0%
n 8759
 
3.8%
s 6581
 
2.9%
Other values (75) 94515
41.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 143567
62.7%
Space Separator 39411
 
17.2%
Other Punctuation 14535
 
6.3%
Math Symbol 13344
 
5.8%
Uppercase Letter 12209
 
5.3%
Decimal Number 3466
 
1.5%
Dash Punctuation 1331
 
0.6%
Connector Punctuation 769
 
0.3%
Close Punctuation 132
 
0.1%
Open Punctuation 132
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 14245
 
9.9%
o 12629
 
8.8%
t 11511
 
8.0%
a 11250
 
7.8%
i 11012
 
7.7%
l 9830
 
6.8%
r 9166
 
6.4%
n 8759
 
6.1%
s 6581
 
4.6%
c 6146
 
4.3%
Other values (16) 42438
29.6%
Uppercase Letter
ValueCountFrequency (%)
S 1349
11.0%
A 1260
 
10.3%
C 1228
 
10.1%
Y 1059
 
8.7%
D 979
 
8.0%
T 788
 
6.5%
N 692
 
5.7%
P 635
 
5.2%
E 463
 
3.8%
H 436
 
3.6%
Other values (16) 3320
27.2%
Other Punctuation
ValueCountFrequency (%)
/ 5999
41.3%
" 3324
22.9%
. 3172
21.8%
: 1024
 
7.0%
, 380
 
2.6%
% 195
 
1.3%
& 164
 
1.1%
; 78
 
0.5%
' 70
 
0.5%
? 57
 
0.4%
Other values (3) 72
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 677
19.5%
0 421
12.1%
7 386
11.1%
1 386
11.1%
6 360
10.4%
3 317
9.1%
4 297
8.6%
8 238
 
6.9%
9 231
 
6.7%
5 153
 
4.4%
Math Symbol
ValueCountFrequency (%)
< 5903
44.2%
> 5903
44.2%
= 1525
 
11.4%
+ 13
 
0.1%
Space Separator
ValueCountFrequency (%)
39411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1331
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 769
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 155776
68.1%
Common 73133
31.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 14245
 
9.1%
o 12629
 
8.1%
t 11511
 
7.4%
a 11250
 
7.2%
i 11012
 
7.1%
l 9830
 
6.3%
r 9166
 
5.9%
n 8759
 
5.6%
s 6581
 
4.2%
c 6146
 
3.9%
Other values (42) 54647
35.1%
Common
ValueCountFrequency (%)
39411
53.9%
/ 5999
 
8.2%
< 5903
 
8.1%
> 5903
 
8.1%
" 3324
 
4.5%
. 3172
 
4.3%
= 1525
 
2.1%
- 1331
 
1.8%
: 1024
 
1.4%
_ 769
 
1.1%
Other values (23) 4772
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39411
17.2%
e 14245
 
6.2%
o 12629
 
5.5%
t 11511
 
5.0%
a 11250
 
4.9%
i 11012
 
4.8%
l 9830
 
4.3%
r 9166
 
4.0%
n 8759
 
3.8%
s 6581
 
2.9%
Other values (75) 94515
41.3%
Distinct22
Distinct (%)5.2%
Missing573
Missing (%)57.3%
Memory size48.5 KiB
2023-12-09T20:32:40.629724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length25
Mean length16.15925059
Min length5

Characters and Unicode

Total characters6900
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowFind out how to apply
2nd rowSearch for a program
3rd rowApply online
4th rowFind a program
5th rowSearch Discover DYCD
ValueCountFrequency (%)
online 250
21.5%
apply 118
 
10.1%
search 79
 
6.8%
file 66
 
5.7%
a 65
 
5.6%
find 53
 
4.6%
your 53
 
4.6%
program 52
 
4.5%
application 52
 
4.5%
for 32
 
2.8%
Other values (28) 343
29.5%
2023-12-09T20:32:41.007558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
736
10.7%
n 678
 
9.8%
e 620
 
9.0%
o 616
 
8.9%
i 597
 
8.7%
l 552
 
8.0%
p 426
 
6.2%
r 387
 
5.6%
a 353
 
5.1%
t 229
 
3.3%
Other values (26) 1706
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5542
80.3%
Space Separator 736
 
10.7%
Uppercase Letter 622
 
9.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 678
12.2%
e 620
11.2%
o 616
11.1%
i 597
10.8%
l 552
10.0%
p 426
7.7%
r 387
7.0%
a 353
6.4%
t 229
 
4.1%
c 209
 
3.8%
Other values (13) 875
15.8%
Uppercase Letter
ValueCountFrequency (%)
F 119
19.1%
S 111
17.8%
A 104
16.7%
C 65
10.5%
R 53
8.5%
E 40
 
6.4%
Y 39
 
6.3%
D 39
 
6.3%
U 13
 
2.1%
N 13
 
2.1%
Other values (2) 26
 
4.2%
Space Separator
ValueCountFrequency (%)
736
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6164
89.3%
Common 736
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 678
11.0%
e 620
10.1%
o 616
10.0%
i 597
 
9.7%
l 552
 
9.0%
p 426
 
6.9%
r 387
 
6.3%
a 353
 
5.7%
t 229
 
3.7%
c 209
 
3.4%
Other values (25) 1497
24.3%
Common
ValueCountFrequency (%)
736
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
736
10.7%
n 678
 
9.8%
e 620
 
9.0%
o 616
 
8.9%
i 597
 
8.7%
l 552
 
8.0%
p 426
 
6.2%
r 387
 
5.6%
a 353
 
5.1%
t 229
 
3.3%
Other values (26) 1706
24.7%
Distinct25
Distinct (%)5.9%
Missing573
Missing (%)57.3%
Memory size60.4 KiB
2023-12-09T20:32:41.303106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length88
Median length63
Mean length44.52459016
Min length18

Characters and Unicode

Total characters19012
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowhttps://maps.nyc.gov/3k/#form-page
2nd rowhttps://www.dycdportal.nyc/discoverdycd/home
3rd rowhttps://www.myschools.nyc/\u200b
4th rowhttp://www.dycdportal.nyc/discoverdycd/home
5th rowhttp://www.dycdportal.nyc/discoverdycd/home
ValueCountFrequency (%)
http://www.dycdportal.nyc/discoverdycd/home 79
18.5%
http://www1.nyc.gov/site/dca/consumers/file-your-taxes.page 53
 
12.4%
https://a069-access.nyc.gov/accessnyc/application.do 26
 
6.1%
https://application.nycsyep.com 26
 
6.1%
http://schoolfinder.nyc.gov 17
 
4.0%
https://a069-apscris.nyc.gov/cris 14
 
3.3%
https://maps.nyc.gov/3k/#form-page 14
 
3.3%
https://on.nyc.gov/nycha-ss 13
 
3.0%
http://www2.cuny.edu/admissions/undergraduate 13
 
3.0%
nyc.gov/youthvoice 13
 
3.0%
Other values (15) 159
37.2%
2023-12-09T20:32:41.744229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1801
 
9.5%
t 1476
 
7.8%
c 1118
 
5.9%
o 1103
 
5.8%
s 1032
 
5.4%
. 1016
 
5.3%
e 902
 
4.7%
p 847
 
4.5%
a 821
 
4.3%
y 817
 
4.3%
Other values (39) 8079
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14799
77.8%
Other Punctuation 3263
 
17.2%
Uppercase Letter 390
 
2.1%
Decimal Number 306
 
1.6%
Dash Punctuation 241
 
1.3%
Connector Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1476
 
10.0%
c 1118
 
7.6%
o 1103
 
7.5%
s 1032
 
7.0%
e 902
 
6.1%
p 847
 
5.7%
a 821
 
5.5%
y 817
 
5.5%
n 799
 
5.4%
h 781
 
5.3%
Other values (13) 5103
34.5%
Uppercase Letter
ValueCountFrequency (%)
C 91
23.3%
S 78
20.0%
E 39
10.0%
P 26
 
6.7%
A 26
 
6.7%
N 26
 
6.7%
Y 26
 
6.7%
R 26
 
6.7%
K 13
 
3.3%
I 13
 
3.3%
Other values (2) 26
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 79
25.8%
0 76
24.8%
2 44
14.4%
6 40
13.1%
9 40
13.1%
3 14
 
4.6%
8 13
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 1801
55.2%
. 1016
31.1%
: 414
 
12.7%
\ 18
 
0.6%
# 14
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15189
79.9%
Common 3823
 
20.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1476
 
9.7%
c 1118
 
7.4%
o 1103
 
7.3%
s 1032
 
6.8%
e 902
 
5.9%
p 847
 
5.6%
a 821
 
5.4%
y 817
 
5.4%
n 799
 
5.3%
h 781
 
5.1%
Other values (25) 5493
36.2%
Common
ValueCountFrequency (%)
/ 1801
47.1%
. 1016
26.6%
: 414
 
10.8%
- 241
 
6.3%
1 79
 
2.1%
0 76
 
2.0%
2 44
 
1.2%
6 40
 
1.0%
9 40
 
1.0%
\ 18
 
0.5%
Other values (4) 54
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1801
 
9.5%
t 1476
 
7.8%
c 1118
 
5.9%
o 1103
 
5.8%
s 1032
 
5.4%
. 1016
 
5.3%
e 902
 
4.7%
p 847
 
4.5%
a 821
 
4.3%
y 817
 
4.3%
Other values (39) 8079
42.5%
Distinct12
Distinct (%)7.9%
Missing849
Missing (%)84.9%
Memory size122.5 KiB
2023-12-09T20:32:42.126954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1573
Median length547
Mean length592.7417219
Min length84

Characters and Unicode

Total characters89504
Distinct characters73
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<ul> <li>Apply by mail: <a href="https://access.nyc.gov/wp-content/uploads/2017/12/VeteransExemption-InitialAppl_EN.pdf" target="_blank">Download the initial exemption application</a> form and mail it to:<br> <strong>New York City Department of Finance</strong><br> P.O. BOX 311<br> Maplewood, NJ 07040-0311 </li> <li>You will need to submit copies of the required documentation with your application. Applications without all of the required documents cannot be processed. </li> <li>Your completed application and all required documents must be postmarked by March 15 (or the next business day if March 15 is on a weekend) for your exemption to begin on July 1 in the same year. </li> </ul>
2nd row<ol> <li>Print a paper application, pick one up from a SNAP Center, or call the HRA Infoline at <a href="tel:718-557-1399">718-557-1399</a> to have a paper application mailed to you. </li> <li>Mail the application and copies of your documents to:<br> <strong>Division of SNAP Services, Mail Application & Referral Unit (MARU),</strong><br> P.O. Box 24510<br> Brooklyn, NY, 11201 </li> </ol>
3rd row<ol> <li>Download and complete the <a href="https://access.nyc.gov/wp-content/uploads/2017/03/Senior_Employment_Services_Form.pdf" target="_blank">Employment Assistance Services Form</a>. </li> <li>Mail the application to:<br> Senior Employment Unit/SCSEP-Title V Program<br> New York City Department for the Aging<br> 2 Lafayette St.<br> New York, NY 10007 </li> </ol>
4th row<ol> <li>Download <a href="https://access.nyc.gov/wp-content/uploads/2017/03/SCRIE_Application_Packet_EN.pdf" target="_blank">the application</a> and fill it out. You can also pick one up from the SCRIE Walk-In Center or call <a href="tel:311">311</a> to request an application be mailed to you.<br> <ol> <li>If you download, there will be two applications in the file. You only need to fill out the application for the type of housing you live in. The application for people who live in Mitchell-Lama or Redevelopment Company development housing will be the pages in the front and the application for all other qualified housing will be second. </li> <li>If you pick up an application from a Walk-In Center or call <a href="tel:311">311</a> to request one, be sure to say what type of housing you live in so you can receive the right application.<br> <br> </li> </ol> </li> <li>People who live in Mitchell-Lama or Redevelopment Company development should mail their application and documents to:<br> <strong>NYC Department of Housing and Development<br> Division of Housing Supervision, SCRIE Unit</strong><br> 100 Gold Street, 7th floor<br> New York, NY 10038<br> <br> </li> <li>People who live in other types of qualified housing should mail their application and documents to:<br> <strong>NYC Department of Finance, SCRIE Unit</strong><br> 59 Maiden Lane, 22nd Floor<br> New York, NY 10038 </li> </ol>
5th row<ol> <li>Download the initial exemption application and fill it in. </li> <li>You will be asked provide the borough, block, and lot (BBL) for your home. You can <a href="http://webapps.nyc.gov:8084/CICS/fin1/find001I" target="_blank">use the Property Address Search</a> to determine this. </li> <li>Gather your required documents and include them with your application. Your application will not be processed without them. </li> <li>Mail your completed application and required documents to:<br> <strong>New York City Department of Finance</strong><br> P.O. Box 311<br> Maplewood, NJ 07040-031 </li> <li>Applications must be postmarked by March 15 for your benefit to begin on July 1 in the same year. </li> </ol>
ValueCountFrequency (%)
the 408
 
3.6%
li 367
 
3.2%
application 353
 
3.1%
a 342
 
3.0%
to 302
 
2.7%
and 296
 
2.6%
of 211
 
1.9%
or 210
 
1.9%
your 204
 
1.8%
be 197
 
1.7%
Other values (281) 8431
74.5%
2023-12-09T20:32:42.657254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18530
20.7%
e 5352
 
6.0%
o 5150
 
5.8%
i 4607
 
5.1%
t 4431
 
5.0%
a 4418
 
4.9%
l 3874
 
4.3%
n 3799
 
4.2%
r 3572
 
4.0%
p 2772
 
3.1%
Other values (63) 32999
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 54000
60.3%
Space Separator 18530
 
20.7%
Math Symbol 4661
 
5.2%
Uppercase Letter 4514
 
5.0%
Other Punctuation 3930
 
4.4%
Decimal Number 3142
 
3.5%
Dash Punctuation 329
 
0.4%
Connector Punctuation 266
 
0.3%
Close Punctuation 66
 
0.1%
Open Punctuation 66
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5352
 
9.9%
o 5150
 
9.5%
i 4607
 
8.5%
t 4431
 
8.2%
a 4418
 
8.2%
l 3874
 
7.2%
n 3799
 
7.0%
r 3572
 
6.6%
p 2772
 
5.1%
s 2029
 
3.8%
Other values (14) 13996
25.9%
Uppercase Letter
ValueCountFrequency (%)
N 427
 
9.5%
Y 426
 
9.4%
S 378
 
8.4%
C 378
 
8.4%
A 369
 
8.2%
I 302
 
6.7%
P 302
 
6.7%
M 271
 
6.0%
D 262
 
5.8%
E 244
 
5.4%
Other values (14) 1155
25.6%
Decimal Number
ValueCountFrequency (%)
1 921
29.3%
0 697
22.2%
3 387
12.3%
7 341
 
10.9%
2 206
 
6.6%
8 182
 
5.8%
5 152
 
4.8%
4 112
 
3.6%
9 98
 
3.1%
6 46
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 1472
37.5%
. 843
21.5%
, 634
16.1%
" 554
 
14.1%
: 401
 
10.2%
\ 13
 
0.3%
& 13
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 2192
47.0%
> 2192
47.0%
= 277
 
5.9%
Space Separator
ValueCountFrequency (%)
18530
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58514
65.4%
Common 30990
34.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5352
 
9.1%
o 5150
 
8.8%
i 4607
 
7.9%
t 4431
 
7.6%
a 4418
 
7.6%
l 3874
 
6.6%
n 3799
 
6.5%
r 3572
 
6.1%
p 2772
 
4.7%
s 2029
 
3.5%
Other values (38) 18510
31.6%
Common
ValueCountFrequency (%)
18530
59.8%
< 2192
 
7.1%
> 2192
 
7.1%
/ 1472
 
4.7%
1 921
 
3.0%
. 843
 
2.7%
0 697
 
2.2%
, 634
 
2.0%
" 554
 
1.8%
: 401
 
1.3%
Other values (15) 2554
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18530
20.7%
e 5352
 
6.0%
o 5150
 
5.8%
i 4607
 
5.1%
t 4431
 
5.0%
a 4418
 
4.9%
l 3874
 
4.3%
n 3799
 
4.2%
r 3572
 
4.0%
p 2772
 
3.1%
Other values (63) 32999
36.9%
Distinct2
Distinct (%)1.4%
Missing853
Missing (%)85.3%
Memory size37.4 KiB
2023-12-09T20:32:42.832376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length20
Median length17
Mean length17.28571429
Min length17

Characters and Unicode

Total characters2541
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDownload application
2nd rowDownload the form
3rd rowDownload the form
4th rowDownload the form
5th rowDownload the form
ValueCountFrequency (%)
download 147
34.4%
the 133
31.1%
form 133
31.1%
application 14
 
3.3%
2023-12-09T20:32:43.122387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 441
17.4%
280
11.0%
a 175
 
6.9%
n 161
 
6.3%
l 161
 
6.3%
D 147
 
5.8%
t 147
 
5.8%
d 147
 
5.8%
w 147
 
5.8%
h 133
 
5.2%
Other values (7) 602
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2114
83.2%
Space Separator 280
 
11.0%
Uppercase Letter 147
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 441
20.9%
a 175
 
8.3%
n 161
 
7.6%
l 161
 
7.6%
t 147
 
7.0%
d 147
 
7.0%
w 147
 
7.0%
h 133
 
6.3%
e 133
 
6.3%
f 133
 
6.3%
Other values (5) 336
15.9%
Space Separator
ValueCountFrequency (%)
280
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2261
89.0%
Common 280
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 441
19.5%
a 175
 
7.7%
n 161
 
7.1%
l 161
 
7.1%
D 147
 
6.5%
t 147
 
6.5%
d 147
 
6.5%
w 147
 
6.5%
h 133
 
5.9%
e 133
 
5.9%
Other values (6) 469
20.7%
Common
ValueCountFrequency (%)
280
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 441
17.4%
280
11.0%
a 175
 
6.9%
n 161
 
6.3%
l 161
 
6.3%
D 147
 
5.8%
t 147
 
5.8%
d 147
 
5.8%
w 147
 
5.8%
h 133
 
5.2%
Other values (7) 602
23.7%
Distinct18
Distinct (%)7.9%
Missing771
Missing (%)77.1%
Memory size54.8 KiB
https://access.nyc.gov/wp-content/uploads/2017/12/VeteransExemption-InitialAppl_EN.pdf
 
14
https://access.nyc.gov/wp-content/uploads/2017/03/WIC_Medical_Referral-Form_For_Infant_EN.pdf
 
14
https://access.nyc.gov/wp-content/uploads/2017/03/NFP-Client-Referral-Form.EN_.pdf
 
13
https://access.nyc.gov/wp-content/uploads/2017/12/DHE-InitialAppl_EN.pdf
 
13
https://access.nyc.gov/wp-content/uploads/2017/11/HEAP_ApplInst_EN.pdf
 
13
Other values (13)
162 
(Missing)
771 
ValueCountFrequency (%)
https://access.nyc.gov/wp-content/uploads/2017/12/VeteransExemption-InitialAppl_EN.pdf 14
 
1.4%
https://access.nyc.gov/wp-content/uploads/2017/03/WIC_Medical_Referral-Form_For_Infant_EN.pdf 14
 
1.4%
https://access.nyc.gov/wp-content/uploads/2017/03/NFP-Client-Referral-Form.EN_.pdf 13
 
1.3%
https://access.nyc.gov/wp-content/uploads/2017/12/DHE-InitialAppl_EN.pdf 13
 
1.3%
https://access.nyc.gov/wp-content/uploads/2017/11/HEAP_ApplInst_EN.pdf 13
 
1.3%
https://access.nyc.gov/wp-content/uploads/2017/03/Workforce1_Customer_Information_Fom.pdf 13
 
1.3%
https://access.nyc.gov/wp-content/uploads/2017/03/SCRIE_Application_Packet_EN.pdf 13
 
1.3%
http://web.mta.info/nyct/paratran/access_application.pdf 13
 
1.3%
https://access.nyc.gov/wp-content/uploads/2017/12/SCHE-InitialAppl_EN.pdf 13
 
1.3%
https://access.nyc.gov/wp-content/uploads/2017/03/DRIE_Application_Packet_EN.pdf 13
 
1.3%
Other values (8) 97
 
9.7%
(Missing) 771
77.1%
ValueCountFrequency (%)
https 216
 
21.6%
http 13
 
1.3%
(Missing) 771
77.1%
ValueCountFrequency (%)
access.nyc.gov 216
 
21.6%
web.mta.info 13
 
1.3%
(Missing) 771
77.1%
ValueCountFrequency (%)
/wp-content/uploads/2017/12/VeteransExemption-InitialAppl_EN.pdf 14
 
1.4%
/wp-content/uploads/2017/03/WIC_Medical_Referral-Form_For_Infant_EN.pdf 14
 
1.4%
/wp-content/uploads/2017/11/HEAP_ApplInst_EN.pdf 13
 
1.3%
/wp-content/uploads/2017/03/Workforce1_Customer_Information_Fom.pdf 13
 
1.3%
/wp-content/uploads/2017/03/DRIE_Application_Packet_EN.pdf 13
 
1.3%
/wp-content/uploads/2017/12/SCHE-InitialAppl_EN.pdf 13
 
1.3%
/wp-content/uploads/2018/09/SNAP_ApplandRecert_ENG.pdf 13
 
1.3%
/wp-content/uploads/2018/08/Child_Support_Enforcement_Form_EN.pdf 13
 
1.3%
/wp-content/uploads/2017/03/NFP-Client-Referral-Form.EN_.pdf 13
 
1.3%
/wp-content/uploads/2017/03/FPBP_applicationinstructions_EN.pdf 13
 
1.3%
Other values (8) 97
 
9.7%
(Missing) 771
77.1%
ValueCountFrequency (%)
229
 
22.9%
(Missing) 771
77.1%
ValueCountFrequency (%)
229
 
22.9%
(Missing) 771
77.1%
Distinct38
Distinct (%)8.4%
Missing548
Missing (%)54.8%
Memory size262.3 KiB
2023-12-09T20:32:43.465354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1155
Median length544
Mean length498.1371681
Min length72

Characters and Unicode

Total characters225158
Distinct characters77
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> Veterans can apply in person at the <a href="https://access.nyc.gov/location/the-va-medical-center/" target="_blank">VA Medical Center</a> in the Bronx or at the <a href="https://access.nyc.gov/location/the-harbor-va-site/" target="_blank">VA NY Harbor Site</a> in Manhattan. </p>
2nd row<ol> <li>Use the <a href="https://www.schools.nyc.gov/enrollment/enroll-grade-by-grade/kindergarten" target="_blank">NYC Kindergarten Directory</a> to find programs you're interested in. You can list up to 12 choices on your applications, including schools outside of your zone and district. </li> <li>Pick up and submit your application at a <a href="https://www.schools.nyc.gov/enrollment/enrollment-help/family-welcome-centers" target="_blank">Family Welcome Center</a> during the application period (November - January each year). </li> </ol>
3rd row<p> Speak to the Parent Coordinator in your child's school for more information. </p>
4th row<ol> <li>Find a <a href="https://maps.nyc.gov/sbs" target="_blank">Workforce1 Center</a> near you.<br> </li> <li>Attend an Introduction to Services session and a brief one-on\u2013one session with a Workforce1 staff member to review work experience, fit for Workforce1 job opportunities, and recommended next steps. </li> </ol>
5th row<p> To apply for WIC: </p> <ul> <li>Find your local WIC agency, or call the Growing Up Healthy Hotline at <a href="tel:800-522-5006">800-522-5006</a> and ask for the location nearest to you. </li> <li>Gather your income, residency, and identity documents to bring with you. </li> <li>Call the WIC agency where you wish to receive services and make an appointment. </li> <li>A short nutrition assessment will be completed at the time of your appointment by a qualified WIC staff member. </li> </ul> <p> The staff will tell you if you need to bring the WIC Medical Referral Form for <a href="https://access.nyc.gov/wp-content/uploads/2017/03/WIC_Medical_Referral-Form-for_For_Women_EN.pdf" target="_blank">you</a> and/or <a href="https://access.nyc.gov/wp-content/uploads/2017/03/WIC_Medical_Referral-Form_For_Infant_EN.pdf" target="_blank">your child</a> completed by your health care provider. </p>
ValueCountFrequency (%)
a 1233
 
4.8%
li 1026
 
4.0%
the 958
 
3.7%
you 941
 
3.6%
to 744
 
2.9%
your 729
 
2.8%
and 604
 
2.3%
p 601
 
2.3%
ol 460
 
1.8%
or 411
 
1.6%
Other values (564) 18077
70.1%
2023-12-09T20:32:43.958051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37292
16.6%
e 13564
 
6.0%
o 12442
 
5.5%
t 11996
 
5.3%
a 11861
 
5.3%
n 10336
 
4.6%
r 10164
 
4.5%
i 9130
 
4.1%
l 8921
 
4.0%
s 6280
 
2.8%
Other values (67) 93172
41.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 139788
62.1%
Space Separator 37292
 
16.6%
Other Punctuation 14604
 
6.5%
Math Symbol 11329
 
5.0%
Uppercase Letter 9458
 
4.2%
Decimal Number 9161
 
4.1%
Dash Punctuation 1634
 
0.7%
Connector Punctuation 1380
 
0.6%
Open Punctuation 216
 
0.1%
Close Punctuation 216
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13564
 
9.7%
o 12442
 
8.9%
t 11996
 
8.6%
a 11861
 
8.5%
n 10336
 
7.4%
r 10164
 
7.3%
i 9130
 
6.5%
l 8921
 
6.4%
s 6280
 
4.5%
p 6156
 
4.4%
Other values (16) 38938
27.9%
Uppercase Letter
ValueCountFrequency (%)
C 1071
11.3%
F 823
 
8.7%
I 805
 
8.5%
A 797
 
8.4%
N 723
 
7.6%
E 628
 
6.6%
Y 602
 
6.4%
S 578
 
6.1%
P 446
 
4.7%
D 417
 
4.4%
Other values (13) 2568
27.2%
Decimal Number
ValueCountFrequency (%)
0 2278
24.9%
1 1661
18.1%
2 1161
12.7%
8 874
 
9.5%
5 726
 
7.9%
4 653
 
7.1%
3 631
 
6.9%
7 518
 
5.7%
6 345
 
3.8%
9 314
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 6276
43.0%
. 3274
22.4%
" 2654
18.2%
, 1111
 
7.6%
: 1035
 
7.1%
' 84
 
0.6%
\ 79
 
0.5%
? 78
 
0.5%
# 13
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 4962
43.8%
< 4962
43.8%
= 1405
 
12.4%
Space Separator
ValueCountFrequency (%)
37292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1634
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 149246
66.3%
Common 75912
33.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13564
 
9.1%
o 12442
 
8.3%
t 11996
 
8.0%
a 11861
 
7.9%
n 10336
 
6.9%
r 10164
 
6.8%
i 9130
 
6.1%
l 8921
 
6.0%
s 6280
 
4.2%
p 6156
 
4.1%
Other values (39) 48396
32.4%
Common
ValueCountFrequency (%)
37292
49.1%
/ 6276
 
8.3%
> 4962
 
6.5%
< 4962
 
6.5%
. 3274
 
4.3%
" 2654
 
3.5%
0 2278
 
3.0%
1 1661
 
2.2%
- 1634
 
2.2%
= 1405
 
1.9%
Other values (18) 9514
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37292
16.6%
e 13564
 
6.0%
o 12442
 
5.5%
t 11996
 
5.3%
a 11861
 
5.3%
n 10336
 
4.6%
r 10164
 
4.5%
i 9130
 
4.1%
l 8921
 
4.0%
s 6280
 
2.8%
Other values (67) 93172
41.4%
Distinct13
Distinct (%)3.8%
Missing654
Missing (%)65.4%
Memory size46.0 KiB
2023-12-09T20:32:44.154538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length29
Median length25
Mean length18.31213873
Min length11

Characters and Unicode

Total characters6336
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFind a center
2nd rowFind a Family Welcome Center
3rd rowFind a center
4th rowFind a location
5th rowFind a location
ValueCountFrequency (%)
find 301
23.9%
a 255
20.2%
location 119
 
9.4%
center 110
 
8.7%
tax 53
 
4.2%
prep 53
 
4.2%
an 39
 
3.1%
office 39
 
3.1%
family 32
 
2.5%
welcome 32
 
2.5%
Other values (12) 227
18.0%
2023-12-09T20:32:44.474959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
14.4%
n 712
11.2%
i 607
9.6%
a 550
8.7%
e 467
 
7.4%
o 439
 
6.9%
t 379
 
6.0%
F 333
 
5.3%
d 301
 
4.8%
r 293
 
4.6%
Other values (22) 1341
21.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4889
77.2%
Space Separator 914
 
14.4%
Uppercase Letter 533
 
8.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 712
14.6%
i 607
12.4%
a 550
11.2%
e 467
9.6%
o 439
9.0%
t 379
7.8%
d 301
6.2%
r 293
6.0%
l 261
 
5.3%
c 255
 
5.2%
Other values (11) 625
12.8%
Uppercase Letter
ValueCountFrequency (%)
F 333
62.5%
C 58
 
10.9%
W 32
 
6.0%
E 26
 
4.9%
V 19
 
3.6%
H 13
 
2.4%
R 13
 
2.4%
A 13
 
2.4%
J 13
 
2.4%
O 13
 
2.4%
Space Separator
ValueCountFrequency (%)
914
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5422
85.6%
Common 914
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 712
13.1%
i 607
11.2%
a 550
10.1%
e 467
8.6%
o 439
8.1%
t 379
 
7.0%
F 333
 
6.1%
d 301
 
5.6%
r 293
 
5.4%
l 261
 
4.8%
Other values (21) 1080
19.9%
Common
ValueCountFrequency (%)
914
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
914
14.4%
n 712
11.2%
i 607
9.6%
a 550
8.7%
e 467
 
7.4%
o 439
 
6.9%
t 379
 
6.0%
F 333
 
5.3%
d 301
 
4.8%
r 293
 
4.6%
Other values (22) 1341
21.2%
Distinct26
Distinct (%)7.5%
Missing654
Missing (%)65.4%
Memory size57.7 KiB
https://access.nyc.gov/location/scriedrie-walk-in-center/
 
26
http://schools.nyc.gov/ChoicesEnrollment/NewStudents/WelcomeCenters/default.htm
 
17
https://www.schools.nyc.gov/enrollment/enrollment-help/family-welcome-centers
 
15
https://access.nyc.gov/locations/?programs=6888
 
14
https://access.nyc.gov/locations/?programs=6875
 
14
Other values (21)
260 
(Missing)
654 
ValueCountFrequency (%)
https://access.nyc.gov/location/scriedrie-walk-in-center/ 26
 
2.6%
http://schools.nyc.gov/ChoicesEnrollment/NewStudents/WelcomeCenters/default.htm 17
 
1.7%
https://www.schools.nyc.gov/enrollment/enrollment-help/family-welcome-centers 15
 
1.5%
https://access.nyc.gov/locations/?programs=6888 14
 
1.4%
https://access.nyc.gov/locations/?programs=6875 14
 
1.4%
https://access.nyc.gov/locations/?programs=6871 13
 
1.3%
http://www1.nyc.gov/assets/hra/downloads/pdf/services/micsa/casa_offices.pdf 13
 
1.3%
https://maps.nyc.gov/sbs 13
 
1.3%
https://access.nyc.gov/locations/?&programs=6885 13
 
1.3%
https://access.nyc.gov/locations/?programs=6862 13
 
1.3%
Other values (16) 195
 
19.5%
(Missing) 654
65.4%
ValueCountFrequency (%)
https 299
29.9%
http 47
 
4.7%
(Missing) 654
65.4%
ValueCountFrequency (%)
access.nyc.gov 258
 
25.8%
www1.nyc.gov 30
 
3.0%
schools.nyc.gov 17
 
1.7%
www.schools.nyc.gov 15
 
1.5%
www.health.ny.gov 13
 
1.3%
maps.nyc.gov 13
 
1.3%
(Missing) 654
65.4%
ValueCountFrequency (%)
/locations/ 232
 
23.2%
/location/scriedrie-walk-in-center/ 26
 
2.6%
/ChoicesEnrollment/NewStudents/WelcomeCenters/default.htm 17
 
1.7%
/enrollment/enrollment-help/family-welcome-centers 15
 
1.5%
/sbs 13
 
1.3%
/site/finance/pay-now/person.page 13
 
1.3%
/community/pregnancy/health_care/prenatal/apply_for_coverage.htm 13
 
1.3%
/assets/hra/downloads/pdf/services/micsa/casa_offices.pdf 13
 
1.3%
/apps/311utils/providerInformation.htm 4
 
0.4%
(Missing) 654
65.4%
ValueCountFrequency (%)
110
 
11.0%
programs=6888 14
 
1.4%
programs=6875 14
 
1.4%
&programs=6885 13
 
1.3%
programs=6859 13
 
1.3%
programs=6909 13
 
1.3%
programs=6881 13
 
1.3%
programs=6861 13
 
1.3%
programs=6887 13
 
1.3%
programs=15014 13
 
1.3%
Other values (10) 117
 
11.7%
(Missing) 654
65.4%
ValueCountFrequency (%)
346
34.6%
(Missing) 654
65.4%
Distinct22
Distinct (%)8.0%
Missing726
Missing (%)72.6%
Memory size122.3 KiB
2023-12-09T20:32:44.732798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2230
Median length212
Mean length314.9562044
Min length72

Characters and Unicode

Total characters86298
Distinct characters77
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> To apply for Jobs Plus, <a href="http://opportunitynycha.org/workforce-development/jobs-plus/" target="_blank">contact a site near you</a>. </p>
2nd row<p> To receive services, call <a href="tel:311">311</a> and say "citizenship appointment". <strong>No walk-ins.</strong><br> Services are available at select NYC libraries. </p><a href="https://www.bklynlibrary.org/learn/immigrants/citizenship" target="_blank"><strong>Brooklyn Public Library</strong></a>:<br> <ul> <li> <a href="https://www.bklynlibrary.org/locations/eastern-parkway" target="_blank">Eastern Parkway Library</a> </li> <li> <a href="https://www.bklynlibrary.org/locations/flatbush" target="_blank">Flatbush Library</a> </li> <li> <a href="https://www.bklynlibrary.org/locations/kings-highway" target="_blank">Kings Highway Library</a> </li> <li> <a href="https://www.bklynlibrary.org/locations/new-utrecht" target="_blank">New Utrecht Library</a> </li> </ul> <p> <a href="https://www.nypl.org/help/community-outreach/nycitizenship" target="_blank"><strong>New York Public Library</strong></a><strong>:</strong><br> </p> <ul> <li> <a href="https://www.nypl.org/locations/bronx-library-center" target="_blank">Bronx Library Center</a> </li> <li> <a href="https://www.nypl.org/locations/sibl" target="_blank">Science Business and Industry Library- Midtown</a> </li> <li> <a href="https://www.nypl.org/locations/inwood" target="_blank">Inwood Library</a> </li> <li> <a href="https://www.nypl.org/locations/st-george-library-center" target="_blank">St. George Library Center- Staten Island</a> </li> </ul><a href="http://www.queenslibrary.org/services/citizenship-immigration/nycitizenship-sessions" target="_blank"><strong>Queens Public Library</strong></a>:<br> <ul> <li> <a href="http://www.queenslibrary.org/branch/Jackson-Heights/" target="_blank">Jackson Heights Library</a> </li> <li> <a href="http://www.queenslibrary.org/branch/Central-Library" target="_blank">Central Library- Jamaica</a> </li> <li> <a href="http://www.queenslibrary.org/branch/Flushing" target="_blank">Flushing Library</a> </li> <li> <a href="http://www.queenslibrary.org/branch/Astoria" target="_blank">Astoria Library</a> </li> </ul>
3rd row<p> Call the National Call Center for Homeless Veterans at <a href="tel:877-424-3838">877-424-3838</a>, which will connect you to your local VA homeless program. </p>
4th row<ol> <li>Use the <a href="https://www.schools.nyc.gov/enrollment/enroll-grade-by-grade/kindergarten" target="_blank">NYC Kindergarten Directory</a> to find programs you're interested in. You can list up to 12 choices on your applications, including schools outside of your zone and district. </li> <li>Call <a href="tel:718-935-2009">718-935-2009</a> to apply during the application period (November - January each year). </li> </ol>
5th row<p> You can also fax your competed application to 917-639-1111. </p>
ValueCountFrequency (%)
a 683
 
7.7%
p 499
 
5.7%
li 446
 
5.1%
to 341
 
3.9%
you 247
 
2.8%
the 235
 
2.7%
at 174
 
2.0%
apply 173
 
2.0%
call 170
 
1.9%
ul 133
 
1.5%
Other values (281) 5718
64.8%
2023-12-09T20:32:45.131138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13189
 
15.3%
a 5399
 
6.3%
e 4475
 
5.2%
t 4221
 
4.9%
r 4095
 
4.7%
l 3762
 
4.4%
o 3382
 
3.9%
i 3261
 
3.8%
n 3179
 
3.7%
> 2721
 
3.2%
Other values (67) 38614
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 49764
57.7%
Space Separator 13189
 
15.3%
Math Symbol 6312
 
7.3%
Other Punctuation 6146
 
7.1%
Decimal Number 6143
 
7.1%
Uppercase Letter 2878
 
3.3%
Dash Punctuation 1498
 
1.7%
Connector Punctuation 290
 
0.3%
Open Punctuation 39
 
< 0.1%
Close Punctuation 39
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 5399
 
10.8%
e 4475
 
9.0%
t 4221
 
8.5%
r 4095
 
8.2%
l 3762
 
7.6%
o 3382
 
6.8%
i 3261
 
6.6%
n 3179
 
6.4%
p 2094
 
4.2%
h 1976
 
4.0%
Other values (16) 13920
28.0%
Uppercase Letter
ValueCountFrequency (%)
C 408
14.2%
L 325
11.3%
H 268
 
9.3%
Y 215
 
7.5%
N 215
 
7.5%
A 170
 
5.9%
P 163
 
5.7%
M 126
 
4.4%
E 121
 
4.2%
F 118
 
4.1%
Other values (14) 749
26.0%
Decimal Number
ValueCountFrequency (%)
1 854
13.9%
8 824
13.4%
2 766
12.5%
7 603
9.8%
3 602
9.8%
6 564
9.2%
4 533
8.7%
5 500
8.1%
0 463
7.5%
9 434
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 2468
40.2%
" 1714
27.9%
. 981
 
16.0%
: 697
 
11.3%
, 217
 
3.5%
\ 52
 
0.8%
' 13
 
0.2%
& 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 2721
43.1%
< 2721
43.1%
= 844
 
13.4%
+ 26
 
0.4%
Space Separator
ValueCountFrequency (%)
13189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1498
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 290
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 52642
61.0%
Common 33656
39.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 5399
 
10.3%
e 4475
 
8.5%
t 4221
 
8.0%
r 4095
 
7.8%
l 3762
 
7.1%
o 3382
 
6.4%
i 3261
 
6.2%
n 3179
 
6.0%
p 2094
 
4.0%
h 1976
 
3.8%
Other values (40) 16798
31.9%
Common
ValueCountFrequency (%)
13189
39.2%
> 2721
 
8.1%
< 2721
 
8.1%
/ 2468
 
7.3%
" 1714
 
5.1%
- 1498
 
4.5%
. 981
 
2.9%
1 854
 
2.5%
= 844
 
2.5%
8 824
 
2.4%
Other values (17) 5842
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86298
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13189
 
15.3%
a 5399
 
6.3%
e 4475
 
5.2%
t 4221
 
4.9%
r 4095
 
4.7%
l 3762
 
4.4%
o 3382
 
3.9%
i 3261
 
3.8%
n 3179
 
3.7%
> 2721
 
3.2%
Other values (67) 38614
44.7%
Distinct34
Distinct (%)8.2%
Missing585
Missing (%)58.5%
Memory size269.5 KiB
2023-12-09T20:32:45.501163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length999
Median length694
Mean length562.6048193
Min length122

Characters and Unicode

Total characters233481
Distinct characters74
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> There are no required documents at this time; applicants are screened for eligibility by the VA for HUD VASH. </p>
2nd row<p> You will not need to submit any documents to apply for Kindergarten. </p> <p> After your child receives an offer letter you will be asked to visit the school in person, with your child, and bring the following documents to enroll: </p> <ul> <li>Proof of your child's age: birth certificate, passport, record of baptism </li> <li>Two proof of address documents (such as: lease, utility bill, or government issued ID-including <a href="http://nyc.gov/idnyc" target="_blank">IDNYC</a>) <ul> <li>Check the "<a href="https://www.schools.nyc.gov/docs/default-source/default-document-library/pre-registration-checklist_english" target="_blank">Pre-Registration Checklist</a>" in the <a href="https://www.schools.nyc.gov/enrollment/enroll-grade-by-grade/kindergarten" target="_blank">NYC Kindergarten Directory</a> to see what other documents you can use. </li> </ul> </li> </ul>
3rd row<p> To apply for WIC, you will need to provide the following documents: </p> <ul> <li>Proof of identity for each person applying. </li> <li>Proof of where you live. Must show your actual street address, not a PO box. </li> <li>Proof of income for each household member who works; documents must be for the last 30 days or proof of your participation in Medicaid, SNAP, or TANF. </li> <li>Immunization records for infants and children. </li> <li>Confirmation of pregnancy. </li> <li>Any WIC Medical forms completed by your health care provider. </li> </ul>
4th row<p> To apply for Veteran's Exemption, you will need to prove the following: </p> <ul> <li>Your Veteran status: Copy of A DD Form 214 ( DD-214) which is the Certificate of Release or Discharge from Active Duty form or separation papers for each veteran. For each disabled veteran, copy of Veterans' Administration letter documenting the disability rating </li> </ul>
5th row<p> To be found eligible for SNAP you will need to prove the following: </p> <ul> <li>Your identity: such as a photo ID, driver\u2019s license, passport, naturalization certificate, or hospital records. </li> <li>Where you live: such as a statement from your landlord, current rent receipt, lease, or mortgage records. </li> <li>Your income (if any): such as a recent pay stub, business records, current tax return, or an Unemployment Insurance Benefit statement. </li> <li>Citizenship or immigration status: such as your birth certificate, U.S. passport, or military service records. <ul> <li>Receiving SNAP will not affect your immigration case or lead to deportation. </li> </ul> </li> </ul> <p> See the <a href="http://www1.nyc.gov/assets/hra/downloads/pdf/services/snap/eligibility_factors_and_suggested_documentation_guide.pdf" target="_blank">SNAP document guide</a> to see what else you can use as proof. </p>
ValueCountFrequency (%)
li 1636
 
5.1%
or 1063
 
3.3%
p 1024
 
3.2%
you 987
 
3.1%
to 953
 
3.0%
ul 872
 
2.7%
a 851
 
2.7%
of 753
 
2.4%
the 751
 
2.4%
your 634
 
2.0%
Other values (488) 22390
70.2%
2023-12-09T20:32:46.011839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49787
21.3%
e 15739
 
6.7%
o 13377
 
5.7%
i 13269
 
5.7%
t 11730
 
5.0%
r 11462
 
4.9%
l 10648
 
4.6%
a 9811
 
4.2%
n 9302
 
4.0%
s 8156
 
3.5%
Other values (64) 80200
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 150585
64.5%
Space Separator 49787
 
21.3%
Math Symbol 11270
 
4.8%
Other Punctuation 10022
 
4.3%
Uppercase Letter 7340
 
3.1%
Decimal Number 2618
 
1.1%
Connector Punctuation 485
 
0.2%
Close Punctuation 460
 
0.2%
Open Punctuation 460
 
0.2%
Dash Punctuation 454
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 15739
 
10.5%
o 13377
 
8.9%
i 13269
 
8.8%
t 11730
 
7.8%
r 11462
 
7.6%
l 10648
 
7.1%
a 9811
 
6.5%
n 9302
 
6.2%
s 8156
 
5.4%
u 6941
 
4.6%
Other values (15) 40150
26.7%
Uppercase Letter
ValueCountFrequency (%)
S 877
11.9%
Y 801
10.9%
C 756
10.3%
I 742
10.1%
D 584
 
8.0%
A 573
 
7.8%
P 476
 
6.5%
T 414
 
5.6%
N 353
 
4.8%
W 249
 
3.4%
Other values (12) 1515
20.6%
Decimal Number
ValueCountFrequency (%)
1 705
26.9%
0 613
23.4%
2 506
19.3%
9 498
19.0%
4 83
 
3.2%
8 73
 
2.8%
5 47
 
1.8%
3 40
 
1.5%
7 27
 
1.0%
6 26
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 3894
38.9%
, 1841
18.4%
. 1766
17.6%
: 1377
 
13.7%
" 674
 
6.7%
\ 263
 
2.6%
' 154
 
1.5%
; 27
 
0.3%
& 26
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 5473
48.6%
> 5473
48.6%
= 324
 
2.9%
Space Separator
ValueCountFrequency (%)
49787
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 460
100.0%
Open Punctuation
ValueCountFrequency (%)
( 460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 454
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 157925
67.6%
Common 75556
32.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 15739
 
10.0%
o 13377
 
8.5%
i 13269
 
8.4%
t 11730
 
7.4%
r 11462
 
7.3%
l 10648
 
6.7%
a 9811
 
6.2%
n 9302
 
5.9%
s 8156
 
5.2%
u 6941
 
4.4%
Other values (37) 47490
30.1%
Common
ValueCountFrequency (%)
49787
65.9%
< 5473
 
7.2%
> 5473
 
7.2%
/ 3894
 
5.2%
, 1841
 
2.4%
. 1766
 
2.3%
: 1377
 
1.8%
1 705
 
0.9%
" 674
 
0.9%
0 613
 
0.8%
Other values (17) 3953
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49787
21.3%
e 15739
 
6.7%
o 13377
 
5.7%
i 13269
 
5.7%
t 11730
 
5.0%
r 11462
 
4.9%
l 10648
 
4.6%
a 9811
 
4.2%
n 9302
 
4.0%
s 8156
 
3.5%
Other values (64) 80200
34.3%
Distinct88
Distinct (%)8.9%
Missing8
Missing (%)0.8%
Memory size600.4 KiB
2023-12-09T20:32:46.271835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1674
Median length549
Mean length562.3881048
Min length162

Characters and Unicode

Total characters557889
Distinct characters81
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<ul> <li>Visit the <a href="http://nyc.gov/3k" target="_blank"><u>3-K website</u></a> to find out more information. </li> <li>Visit a <a href="http://nyc.gov/schools/welcomecenters" target="_blank"><u>Family Welcome Center</u></a> to learn more about 3-K programs </li> <li>Call <a href="tel:311"><u>311</u></a> or text \u201c3k\u201d to <a href="sms:877-877"><u>877-877</u></a> if you have questions about 3-K. </li> </ul>
2nd row<ul> <li>Visit the <a href="http://opportunitynycha.org/workforce-development/jobs-plus/" target="_blank">Jobs Plus website</a> to learn more about the program. </li> <li>Call a <a href="http://opportunitynycha.org/workforce-development/jobs-plus/" target="_blank">Jobs Plus site</a> near you for questions about a specific location. </li> </ul>
3rd row<ul> <li>Call DYCD Youth Connect at <a href="tel:800-246-4646">800-246-4646</a> if you have questions about this program. </li> <li>Visit the <a href="https://www1.nyc.gov/site/dycd/services/jobs-internships/out-of-school-youth-osy-program.page" target="_blank">DYCD website</a> for more information. </li> </ul>
4th row<ul> <li>Visit the <a href="http://www.nyc.gov/nycitizenship" target="_blank">NYCitizenship</a> website for more information. </li> <li>Call <a href="tel:311">311</a> and say "citizenship appointment" to receive assistance. </li> </ul>
5th row<ul> <li>Visit the <a href="https://www.va.gov/homeless/hud-vash_eligibility.asp" target="_blank">HUD-VASH website</a> for more information </li> <li>Call the National Call Center for Homeless Veterans at <a href="tel:877-424-3838">877-424-3838</a> to learn if you're eligible and apply </li> </ul>
ValueCountFrequency (%)
a 4368
 
8.7%
li 3112
 
6.2%
ul 2059
 
4.1%
the 1894
 
3.8%
to 1432
 
2.8%
more 1355
 
2.7%
li>visit 1326
 
2.6%
for 1123
 
2.2%
p 1006
 
2.0%
li>call 986
 
2.0%
Other values (946) 31586
62.9%
2023-12-09T20:32:46.711188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85387
 
15.3%
e 32659
 
5.9%
t 30416
 
5.5%
a 29761
 
5.3%
i 23372
 
4.2%
l 23236
 
4.2%
o 23121
 
4.1%
r 23005
 
4.1%
< 19654
 
3.5%
> 19654
 
3.5%
Other values (71) 247624
44.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 316185
56.7%
Space Separator 85387
 
15.3%
Math Symbol 45134
 
8.1%
Other Punctuation 44472
 
8.0%
Decimal Number 34417
 
6.2%
Uppercase Letter 21120
 
3.8%
Dash Punctuation 8587
 
1.5%
Connector Punctuation 1959
 
0.4%
Close Punctuation 314
 
0.1%
Open Punctuation 314
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 32659
 
10.3%
t 30416
 
9.6%
a 29761
 
9.4%
i 23372
 
7.4%
l 23236
 
7.3%
o 23121
 
7.3%
r 23005
 
7.3%
n 19109
 
6.0%
s 15556
 
4.9%
h 13837
 
4.4%
Other values (16) 82113
26.0%
Uppercase Letter
ValueCountFrequency (%)
C 3763
17.8%
Y 1791
 
8.5%
V 1694
 
8.0%
E 1585
 
7.5%
S 1530
 
7.2%
N 1432
 
6.8%
A 1031
 
4.9%
H 1013
 
4.8%
D 990
 
4.7%
F 958
 
4.5%
Other values (14) 5333
25.3%
Other Punctuation
ValueCountFrequency (%)
/ 18523
41.7%
" 11182
25.1%
. 8435
19.0%
: 4493
 
10.1%
, 1253
 
2.8%
? 183
 
0.4%
& 109
 
0.2%
' 93
 
0.2%
% 73
 
0.2%
\ 69
 
0.2%
Other values (2) 59
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 5712
16.6%
8 4278
12.4%
0 3920
11.4%
2 3710
10.8%
7 3675
10.7%
6 3650
10.6%
3 2807
8.2%
4 2369
6.9%
5 2165
 
6.3%
9 2131
 
6.2%
Math Symbol
ValueCountFrequency (%)
< 19654
43.5%
> 19654
43.5%
= 5761
 
12.8%
+ 65
 
0.1%
Space Separator
ValueCountFrequency (%)
85387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8587
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1959
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 314
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 337305
60.5%
Common 220584
39.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 32659
 
9.7%
t 30416
 
9.0%
a 29761
 
8.8%
i 23372
 
6.9%
l 23236
 
6.9%
o 23121
 
6.9%
r 23005
 
6.8%
n 19109
 
5.7%
s 15556
 
4.6%
h 13837
 
4.1%
Other values (40) 103233
30.6%
Common
ValueCountFrequency (%)
85387
38.7%
< 19654
 
8.9%
> 19654
 
8.9%
/ 18523
 
8.4%
" 11182
 
5.1%
- 8587
 
3.9%
. 8435
 
3.8%
= 5761
 
2.6%
1 5712
 
2.6%
: 4493
 
2.0%
Other values (21) 33196
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 557889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85387
 
15.3%
e 32659
 
5.9%
t 30416
 
5.5%
a 29761
 
5.3%
i 23372
 
4.2%
l 23236
 
4.2%
o 23121
 
4.1%
r 23005
 
4.1%
< 19654
 
3.5%
> 19654
 
3.5%
Other values (71) 247624
44.4%

get_help_in_person
Text

MISSING 

Distinct51
Distinct (%)7.8%
Missing350
Missing (%)35.0%
Memory size188.9 KiB
2023-12-09T20:32:46.925383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length571
Median length225
Mean length223.2369231
Min length146

Characters and Unicode

Total characters145104
Distinct characters79
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> <strong>Visit a Family Welcome Center</strong> </p> <p> Visit a <a href="http://nyc.gov/schools/welcomecenters" target="_blank"><u>Family Welcome Center</u></a> to learn more about 3-K programs. </p>
2nd row<p> <strong>Visit an office</strong> </p> <p> Visit <a href="https://access.nyc.gov/location/the-va-medical-center/" target="_blank">VA Medical Center</a> in the Bronx (Mondays, Tuesdays and Fridays, 6:45 a.m. - 3:15 p.m.) or<br> <a href="https://access.nyc.gov/location/the-harbor-va-site/" target="_blank">VA NY Harbor Site</a> in Manhattan (Mondays, 9:00 a.m. - 4:30 p.m. and Thursdays, 11:00 a.m. - 4:30 p.m.) for assistance. </p>
3rd row<p> <strong>Visit a Family Welcome Center</strong> </p> <p> Visit a <a href="https://www.schools.nyc.gov/enrollment/enrollment-help/family-welcome-centers" target="_blank">Family Welcome Center</a> to get help in person. </p>
4th row<p> <strong>Visit the website</strong><br> <br> Visit the <a href="https://www1.nyc.gov/site/dycd/services/jobs-internships/young-adult-internship-program-yaip.page" target="_blank"><u>DYCD website</u></a> for more information. </p>
5th row<p> <strong>Visit a Workforce1 Career Center</strong> </p> <p> Find a <a href="https://maps.nyc.gov/sbs" target="_blank">Workforce1 Career Center</a> near you. </p>
ValueCountFrequency (%)
p 2600
 
17.2%
a 1354
 
9.0%
strong>visit 611
 
4.1%
to 453
 
3.0%
in 440
 
2.9%
help 400
 
2.7%
get 361
 
2.4%
visit 321
 
2.1%
person 318
 
2.1%
center</strong 241
 
1.6%
Other values (279) 7979
52.9%
2023-12-09T20:32:47.296972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20832
 
14.4%
t 9141
 
6.3%
e 8358
 
5.8%
a 7355
 
5.1%
o 7235
 
5.0%
n 7189
 
5.0%
r 7184
 
5.0%
s 6070
 
4.2%
< 5787
 
4.0%
> 5787
 
4.0%
Other values (69) 60166
41.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88805
61.2%
Space Separator 20832
 
14.4%
Math Symbol 12911
 
8.9%
Other Punctuation 11744
 
8.1%
Uppercase Letter 6033
 
4.2%
Decimal Number 3067
 
2.1%
Dash Punctuation 932
 
0.6%
Connector Punctuation 648
 
0.4%
Open Punctuation 66
 
< 0.1%
Close Punctuation 66
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 9141
10.3%
e 8358
 
9.4%
a 7355
 
8.3%
o 7235
 
8.1%
n 7189
 
8.1%
r 7184
 
8.1%
s 6070
 
6.8%
p 5317
 
6.0%
i 5112
 
5.8%
l 3630
 
4.1%
Other values (16) 22214
25.0%
Uppercase Letter
ValueCountFrequency (%)
V 958
15.9%
C 826
13.7%
F 721
12.0%
Y 428
 
7.1%
N 405
 
6.7%
A 315
 
5.2%
E 289
 
4.8%
S 276
 
4.6%
W 276
 
4.6%
B 208
 
3.4%
Other values (14) 1331
22.1%
Other Punctuation
ValueCountFrequency (%)
/ 5504
46.9%
. 2439
20.8%
" 2254
19.2%
: 819
 
7.0%
, 458
 
3.9%
? 197
 
1.7%
\ 28
 
0.2%
' 26
 
0.2%
& 13
 
0.1%
; 6
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 594
19.4%
0 578
18.8%
8 442
14.4%
6 317
10.3%
3 278
9.1%
2 251
8.2%
7 220
 
7.2%
4 170
 
5.5%
5 123
 
4.0%
9 94
 
3.1%
Math Symbol
ValueCountFrequency (%)
< 5787
44.8%
> 5787
44.8%
= 1324
 
10.3%
+ 13
 
0.1%
Space Separator
ValueCountFrequency (%)
20832
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 932
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 648
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 94838
65.4%
Common 50266
34.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 9141
 
9.6%
e 8358
 
8.8%
a 7355
 
7.8%
o 7235
 
7.6%
n 7189
 
7.6%
r 7184
 
7.6%
s 6070
 
6.4%
p 5317
 
5.6%
i 5112
 
5.4%
l 3630
 
3.8%
Other values (40) 28247
29.8%
Common
ValueCountFrequency (%)
20832
41.4%
< 5787
 
11.5%
> 5787
 
11.5%
/ 5504
 
10.9%
. 2439
 
4.9%
" 2254
 
4.5%
= 1324
 
2.6%
- 932
 
1.9%
: 819
 
1.6%
_ 648
 
1.3%
Other values (19) 3940
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20832
 
14.4%
t 9141
 
6.3%
e 8358
 
5.8%
a 7355
 
5.1%
o 7235
 
5.0%
n 7189
 
5.0%
r 7184
 
5.0%
s 6070
 
4.2%
< 5787
 
4.0%
> 5787
 
4.0%
Other values (69) 60166
41.5%

get_help_online
Text

MISSING 

Distinct69
Distinct (%)7.7%
Missing99
Missing (%)9.9%
Memory size255.7 KiB
2023-12-09T20:32:47.507719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length500
Median length243
Mean length229.9522752
Min length167

Characters and Unicode

Total characters207187
Distinct characters73
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> <strong>Visit the website</strong> </p> <p> Visit the <a href="http://nyc.gov/3k" target="_blank"><u>3-K website</u></a> to find out more information. </p>
2nd row<p> <strong>Visit the website</strong> </p> <p> Visit the <a href="http://opportunitynycha.org/workforce-development/jobs-plus/" target="_blank">Jobs Plus website</a> to learn more about the program. </p>
3rd row<p> <strong>Visit the website</strong> </p> <p> Visit the <a href="https://www1.nyc.gov/site/dycd/services/jobs-internships/out-of-school-youth-osy-program.page" target="_blank">DYCD website</a> for more information. </p>
4th row<p> <strong>Visit the website</strong> </p> <p> Visit the <a href="http://www.nyc.gov/nycitizenship" target="_blank">NYCitizenship</a> website for more information. </p>
5th row<p> <strong>Visit the website</strong> </p> <p> Visit the <a href="https://www.va.gov/homeless/hud-vash_eligibility.asp" target="_blank">HUD-VASH website</a> for more information. </p>
ValueCountFrequency (%)
p 3606
20.1%
the 1901
 
10.6%
a 1006
 
5.6%
visit 902
 
5.0%
strong>visit 888
 
4.9%
more 756
 
4.2%
website</strong 731
 
4.1%
website</a 667
 
3.7%
to 527
 
2.9%
learn 461
 
2.6%
Other values (260) 6522
36.3%
2023-12-09T20:32:47.892627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24694
 
11.9%
t 16411
 
7.9%
e 15010
 
7.2%
s 10022
 
4.8%
r 9894
 
4.8%
i 9702
 
4.7%
o 9595
 
4.6%
a 9505
 
4.6%
/ 9289
 
4.5%
< 8078
 
3.9%
Other values (63) 84987
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 135814
65.6%
Space Separator 24694
 
11.9%
Math Symbol 18169
 
8.8%
Other Punctuation 17958
 
8.7%
Uppercase Letter 6792
 
3.3%
Dash Punctuation 1845
 
0.9%
Connector Punctuation 993
 
0.5%
Decimal Number 922
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 16411
12.1%
e 15010
11.1%
s 10022
 
7.4%
r 9894
 
7.3%
i 9702
 
7.1%
o 9595
 
7.1%
a 9505
 
7.0%
n 8044
 
5.9%
p 6746
 
5.0%
h 6242
 
4.6%
Other values (16) 34643
25.5%
Uppercase Letter
ValueCountFrequency (%)
V 1843
27.1%
C 856
12.6%
Y 537
 
7.9%
N 445
 
6.6%
S 439
 
6.5%
D 435
 
6.4%
A 383
 
5.6%
E 367
 
5.4%
H 365
 
5.4%
P 217
 
3.2%
Other values (14) 905
13.3%
Decimal Number
ValueCountFrequency (%)
1 542
58.8%
2 79
 
8.6%
8 65
 
7.0%
3 54
 
5.9%
6 52
 
5.6%
7 39
 
4.2%
0 39
 
4.2%
5 26
 
2.8%
4 26
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 9289
51.7%
" 3922
21.8%
. 3635
 
20.2%
: 994
 
5.5%
' 67
 
0.4%
# 26
 
0.1%
& 25
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 8078
44.5%
> 8078
44.5%
= 1961
 
10.8%
+ 52
 
0.3%
Space Separator
ValueCountFrequency (%)
24694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1845
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 142606
68.8%
Common 64581
31.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 16411
 
11.5%
e 15010
 
10.5%
s 10022
 
7.0%
r 9894
 
6.9%
i 9702
 
6.8%
o 9595
 
6.7%
a 9505
 
6.7%
n 8044
 
5.6%
p 6746
 
4.7%
h 6242
 
4.4%
Other values (40) 41435
29.1%
Common
ValueCountFrequency (%)
24694
38.2%
/ 9289
 
14.4%
< 8078
 
12.5%
> 8078
 
12.5%
" 3922
 
6.1%
. 3635
 
5.6%
= 1961
 
3.0%
- 1845
 
2.9%
: 994
 
1.5%
_ 993
 
1.5%
Other values (13) 1092
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24694
 
11.9%
t 16411
 
7.9%
e 15010
 
7.2%
s 10022
 
4.8%
r 9894
 
4.8%
i 9702
 
4.7%
o 9595
 
4.6%
a 9505
 
4.6%
/ 9289
 
4.5%
< 8078
 
3.9%
Other values (63) 84987
41.0%

get_help_by_email
Text

MISSING 

Distinct25
Distinct (%)7.8%
Missing680
Missing (%)68.0%
Memory size114.1 KiB
2023-12-09T20:32:48.083824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length775
Median length191
Mean length239.8125
Min length144

Characters and Unicode

Total characters76740
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> <strong>Email your questions</strong> </p> <p> <a href="mailto:ESEnrollment.nyc.gov">Email the Kindergarten Admissions team</a> with questions about applying. </p>
2nd row<p> <strong>Email Workforce1</strong> </p> <p> <a href="http://www.nyc.gov/html/sbs/wf1/html/contact/contact_form.shtml" target="_blank">Email</a> your questions or if you need more information about Workforce1. </p>
3rd row<p> <strong>Email the Department of Finance</strong> </p> <p> Email the <a href="http://www1.nyc.gov/site/finance/about/contact-by-email/contact-exemptions-inquiries.page" target="_blank">Department of Finance</a> if you have questions about this program. </p>
4th row<p> <strong>Email a Parent Center</strong> </p>Email a Parent Center for more information:<br> <ul> <li> <a href="mailto:roverton.org">Bronx, Brooklyn, Manhattan, and Queens</a>, </li> <li> <a href="mailto:siptp.com">Staten Island</a>. </li> </ul>
5th row<p> <strong>Email SCRIE</strong> </p> <p> <a href="http://nyc.gov/contactscrie" target="_blank">Email SCRIE</a> for more information. </p>
ValueCountFrequency (%)
p 1137
 
16.4%
a 545
 
7.9%
li 312
 
4.5%
strong>email 294
 
4.3%
questions 228
 
3.3%
about 163
 
2.4%
if 150
 
2.2%
you 150
 
2.2%
for 144
 
2.1%
have 137
 
2.0%
Other values (166) 3657
52.9%
2023-12-09T20:32:48.421782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11549
 
15.0%
a 4451
 
5.8%
t 4297
 
5.6%
o 4253
 
5.5%
< 3634
 
4.7%
> 3634
 
4.7%
n 3590
 
4.7%
e 3508
 
4.6%
i 3290
 
4.3%
r 3179
 
4.1%
Other values (59) 31355
40.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 46687
60.8%
Space Separator 11549
 
15.0%
Math Symbol 7918
 
10.3%
Other Punctuation 5840
 
7.6%
Uppercase Letter 3646
 
4.8%
Decimal Number 588
 
0.8%
Dash Punctuation 355
 
0.5%
Connector Punctuation 157
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4451
 
9.5%
t 4297
 
9.2%
o 4253
 
9.1%
n 3590
 
7.7%
e 3508
 
7.5%
i 3290
 
7.0%
r 3179
 
6.8%
l 2579
 
5.5%
s 2362
 
5.1%
m 2044
 
4.4%
Other values (15) 13134
28.1%
Uppercase Letter
ValueCountFrequency (%)
E 901
24.7%
C 524
14.4%
S 319
 
8.7%
D 173
 
4.7%
H 169
 
4.6%
Y 169
 
4.6%
L 157
 
4.3%
B 145
 
4.0%
I 144
 
3.9%
N 143
 
3.9%
Other values (12) 802
22.0%
Decimal Number
ValueCountFrequency (%)
1 183
31.1%
2 143
24.3%
3 79
13.4%
7 65
 
11.1%
4 26
 
4.4%
6 26
 
4.4%
9 26
 
4.4%
5 26
 
4.4%
0 14
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 2513
43.0%
. 1302
22.3%
" 1274
21.8%
: 585
 
10.0%
, 160
 
2.7%
& 6
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 3634
45.9%
> 3634
45.9%
= 637
 
8.0%
+ 13
 
0.2%
Space Separator
ValueCountFrequency (%)
11549
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 50333
65.6%
Common 26407
34.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4451
 
8.8%
t 4297
 
8.5%
o 4253
 
8.4%
n 3590
 
7.1%
e 3508
 
7.0%
i 3290
 
6.5%
r 3179
 
6.3%
l 2579
 
5.1%
s 2362
 
4.7%
m 2044
 
4.1%
Other values (37) 16780
33.3%
Common
ValueCountFrequency (%)
11549
43.7%
< 3634
 
13.8%
> 3634
 
13.8%
/ 2513
 
9.5%
. 1302
 
4.9%
" 1274
 
4.8%
= 637
 
2.4%
: 585
 
2.2%
- 355
 
1.3%
1 183
 
0.7%
Other values (12) 741
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11549
 
15.0%
a 4451
 
5.8%
t 4297
 
5.6%
o 4253
 
5.5%
< 3634
 
4.7%
> 3634
 
4.7%
n 3590
 
4.7%
e 3508
 
4.6%
i 3290
 
4.3%
r 3179
 
4.1%
Other values (59) 31355
40.9%
Distinct56
Distinct (%)7.6%
Missing264
Missing (%)26.4%
Memory size204.1 KiB
2023-12-09T20:32:48.677428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length816
Median length198
Mean length215.3790761
Min length123

Characters and Unicode

Total characters158519
Distinct characters77
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<p> <strong>Call a site</strong> </p> <p> Call a <a href="http://opportunitynycha.org/workforce-development/jobs-plus/" target="_blank">Jobs Plus site</a> for questions about a specific location. </p>
2nd row<p> <strong>Call Youth Connect</strong> </p> <p> Call DYCD Youth Connect at <a href="tel:800-246-4646">800-246-4646</a> if you have questions about this program. </p>
3rd row<p> <strong>Call the National Call Center for Homeless Veterans</strong> </p> <p> Call <a href="tel:877-424-3838">877-424-3838</a> to learn if you're eligible and apply. </p>
4th row<p> <strong>Call for help</strong> </p> <p> Call <a href="tel:718-935-2009">718-935-2009</a> if you have questions about Kindergarten. </p>
5th row<p> <strong>Call Youth Connect</strong><br> <br> Call DYCD Youth Connect at <a href="tel:1-800-246-4646"><u>1-800-246-4646</u></a> if you have questions about this program. </p>
ValueCountFrequency (%)
p 2880
 
17.3%
a 1328
 
8.0%
call 663
 
4.0%
strong>call 656
 
3.9%
the 422
 
2.5%
for 390
 
2.3%
if 352
 
2.1%
at 347
 
2.1%
you 340
 
2.0%
have 307
 
1.8%
Other values (340) 8940
53.8%
2023-12-09T20:32:49.124540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23949
 
15.1%
< 7833
 
4.9%
> 7833
 
4.9%
a 7115
 
4.5%
o 6913
 
4.4%
e 6911
 
4.4%
t 6676
 
4.2%
r 6066
 
3.8%
l 6038
 
3.8%
n 5273
 
3.3%
Other values (67) 73912
46.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 72161
45.5%
Space Separator 23949
 
15.1%
Decimal Number 23298
 
14.7%
Math Symbol 16885
 
10.7%
Other Punctuation 9021
 
5.7%
Uppercase Letter 7860
 
5.0%
Dash Punctuation 4938
 
3.1%
Open Punctuation 197
 
0.1%
Close Punctuation 197
 
0.1%
Connector Punctuation 13
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 7115
9.9%
o 6913
9.6%
e 6911
9.6%
t 6676
9.3%
r 6066
 
8.4%
l 6038
 
8.4%
n 5273
 
7.3%
p 3794
 
5.3%
s 3738
 
5.2%
i 3324
 
4.6%
Other values (15) 16313
22.6%
Uppercase Letter
ValueCountFrequency (%)
C 2386
30.4%
Y 666
 
8.5%
T 508
 
6.5%
E 459
 
5.8%
A 416
 
5.3%
S 415
 
5.3%
N 361
 
4.6%
I 356
 
4.5%
H 342
 
4.4%
D 333
 
4.2%
Other values (14) 1618
20.6%
Other Punctuation
ValueCountFrequency (%)
/ 3900
43.2%
" 2438
27.0%
: 1475
 
16.4%
. 757
 
8.4%
, 239
 
2.6%
; 75
 
0.8%
& 58
 
0.6%
% 39
 
0.4%
\ 27
 
0.3%
' 13
 
0.1%
Decimal Number
ValueCountFrequency (%)
8 3296
14.1%
6 2891
12.4%
7 2843
12.2%
1 2584
11.1%
2 2557
11.0%
0 2325
10.0%
9 1883
8.1%
4 1820
7.8%
3 1618
6.9%
5 1481
6.4%
Math Symbol
ValueCountFrequency (%)
< 7833
46.4%
> 7833
46.4%
= 1219
 
7.2%
Space Separator
ValueCountFrequency (%)
23949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4938
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 80021
50.5%
Common 78498
49.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 7115
 
8.9%
o 6913
 
8.6%
e 6911
 
8.6%
t 6676
 
8.3%
r 6066
 
7.6%
l 6038
 
7.5%
n 5273
 
6.6%
p 3794
 
4.7%
s 3738
 
4.7%
i 3324
 
4.2%
Other values (39) 24173
30.2%
Common
ValueCountFrequency (%)
23949
30.5%
< 7833
 
10.0%
> 7833
 
10.0%
- 4938
 
6.3%
/ 3900
 
5.0%
8 3296
 
4.2%
6 2891
 
3.7%
7 2843
 
3.6%
1 2584
 
3.3%
2 2557
 
3.3%
Other values (18) 15874
20.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23949
 
15.1%
< 7833
 
4.9%
> 7833
 
4.9%
a 7115
 
4.5%
o 6913
 
4.4%
e 6911
 
4.4%
t 6676
 
4.2%
r 6066
 
3.8%
l 6038
 
3.8%
n 5273
 
3.3%
Other values (67) 73912
46.6%
Distinct47
Distinct (%)7.4%
Missing365
Missing (%)36.5%
Memory size108.5 KiB
2023-12-09T20:32:49.471860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length228
Median length109
Mean length99.38740157
Min length65

Characters and Unicode

Total characters63111
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<p> Call 311<br> Ask for 3-K for All.<br> Text \u201c3k\u201d to 877-877 </p>
2nd row<p> <strong>Call 311</strong> </p> <p> Ask for "Citizenship appointment\u201d to make appointments in order to receive services. </p>
3rd row<p> <strong>Call 311</strong> </p> <p> Ask for Veterans Affairs Supportive Housing Program and you will be connected to VA facilities. </p>
4th row<p> <strong>Call 311</strong> </p> <p> Ask for Workforce1 if you need help finding a program. </p>
5th row<p> <strong>Call 311</strong><br> </p> <p> Ask for Women, Infants, and Children assistance. </p>
ValueCountFrequency (%)
p 2578
30.5%
for 649
 
7.7%
strong>call 627
 
7.4%
ask 622
 
7.3%
311</strong 495
 
5.8%
assistance 250
 
3.0%
program 196
 
2.3%
311</strong><br 118
 
1.4%
a 95
 
1.1%
help 79
 
0.9%
Other values (134) 2754
32.5%
2023-12-09T20:32:50.694303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13096
20.8%
< 4010
 
6.4%
> 4010
 
6.4%
r 3394
 
5.4%
s 3220
 
5.1%
p 3186
 
5.0%
o 3167
 
5.0%
n 2733
 
4.3%
t 2596
 
4.1%
a 2368
 
3.8%
Other values (54) 21331
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33467
53.0%
Space Separator 13096
 
20.8%
Math Symbol 8036
 
12.7%
Uppercase Letter 3349
 
5.3%
Other Punctuation 2743
 
4.3%
Decimal Number 2319
 
3.7%
Dash Punctuation 101
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 3394
10.1%
s 3220
9.6%
p 3186
9.5%
o 3167
9.5%
n 2733
8.2%
t 2596
 
7.8%
a 2368
 
7.1%
e 2332
 
7.0%
l 2006
 
6.0%
g 1660
 
5.0%
Other values (15) 6805
20.3%
Uppercase Letter
ValueCountFrequency (%)
C 895
26.7%
A 779
23.3%
S 292
 
8.7%
P 250
 
7.5%
E 210
 
6.3%
H 131
 
3.9%
I 121
 
3.6%
N 91
 
2.7%
V 80
 
2.4%
D 80
 
2.4%
Other values (10) 420
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 1932
70.4%
. 641
 
23.4%
" 45
 
1.6%
\ 41
 
1.5%
' 40
 
1.5%
, 28
 
1.0%
: 16
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 1426
61.5%
3 687
29.6%
7 56
 
2.4%
2 41
 
1.8%
0 41
 
1.8%
8 41
 
1.8%
9 27
 
1.2%
Math Symbol
ValueCountFrequency (%)
< 4010
49.9%
> 4010
49.9%
= 16
 
0.2%
Space Separator
ValueCountFrequency (%)
13096
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36816
58.3%
Common 26295
41.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 3394
 
9.2%
s 3220
 
8.7%
p 3186
 
8.7%
o 3167
 
8.6%
n 2733
 
7.4%
t 2596
 
7.1%
a 2368
 
6.4%
e 2332
 
6.3%
l 2006
 
5.4%
g 1660
 
4.5%
Other values (35) 10154
27.6%
Common
ValueCountFrequency (%)
13096
49.8%
< 4010
 
15.3%
> 4010
 
15.3%
/ 1932
 
7.3%
1 1426
 
5.4%
3 687
 
2.6%
. 641
 
2.4%
- 101
 
0.4%
7 56
 
0.2%
" 45
 
0.2%
Other values (9) 291
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13096
20.8%
< 4010
 
6.4%
> 4010
 
6.4%
r 3394
 
5.4%
s 3220
 
5.1%
p 3186
 
5.0%
o 3167
 
5.0%
n 2733
 
4.3%
t 2596
 
4.1%
a 2368
 
3.8%
Other values (54) 21331
33.8%

date
Text

Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:32:50.935799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01-09T00:00:00.000
2nd row2019-01-09T00:00:00.000
3rd row2019-01-09T00:00:00.000
4th row2019-01-09T00:00:00.000
5th row2019-01-09T00:00:00.000
ValueCountFrequency (%)
2018-12-27t00:00:00.000 81
 
8.1%
2019-01-04t00:00:00.000 81
 
8.1%
2019-01-08t00:00:00.000 81
 
8.1%
2018-12-13t00:00:00.000 81
 
8.1%
2018-12-21t00:00:00.000 81
 
8.1%
2019-01-09t00:00:00.000 81
 
8.1%
2019-01-03t00:00:00.000 81
 
8.1%
2018-12-12t00:00:00.000 74
 
7.4%
2018-11-09t00:00:00.000 70
 
7.0%
2018-11-29t00:00:00.000 70
 
7.0%
Other values (4) 219
21.9%
2023-12-09T20:32:51.287388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10937
47.6%
1 2595
 
11.3%
- 2000
 
8.7%
: 2000
 
8.7%
2 1763
 
7.7%
T 1000
 
4.3%
. 1000
 
4.3%
8 757
 
3.3%
9 545
 
2.4%
3 171
 
0.7%
Other values (2) 232
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10937
64.3%
1 2595
 
15.3%
2 1763
 
10.4%
8 757
 
4.5%
9 545
 
3.2%
3 171
 
1.0%
7 151
 
0.9%
4 81
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10937
49.7%
1 2595
 
11.8%
- 2000
 
9.1%
: 2000
 
9.1%
2 1763
 
8.0%
. 1000
 
4.5%
8 757
 
3.4%
9 545
 
2.5%
3 171
 
0.8%
7 151
 
0.7%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10937
47.6%
1 2595
 
11.3%
- 2000
 
8.7%
: 2000
 
8.7%
2 1763
 
7.7%
T 1000
 
4.3%
. 1000
 
4.3%
8 757
 
3.3%
9 545
 
2.4%
3 171
 
0.7%
Other values (2) 232
 
1.0%